Determination of the conservation time of periodicals for optimal shelf maintenance of a library. - Sadaaki Miyamoto; Kazuhiko Nakayama (J. Am. Soc. Inf. Sci., 1981)

Generation of a pseudothesaurus for information retrieval based on cooccurrences and fuzzy set operations. - Sadaaki Miyamoto; Teruhisa Miyake; Kazuhiko Nakayama (IEEE Trans. Syst. Man Cybern., 1983)

A directed graph representation based on a statistical hypothesis testing and application to citation and association structures. - Sadaaki Miyamoto; Kazuhiko Nakayama (IEEE Trans. Syst. Man Cybern., 1984)

Least square method for enhancement of laser radar images based on piecewise linear transformations of gray scales. - Y. Asayama; Sadaaki Miyamoto; Ko Oi; Y. Ikebe (ICASSP, 1986)

Fuzzy Information Retrieval Based on a Fuzzy Pseudothesaurus. - Sadaaki Miyamoto; Kazuhiko Nakayama (IEEE Trans. Syst. Man Cybern., 1986)

Similarity Measures Based on a Fuzzy Set Model and Application to Hierarchical Clustering. - Sadaaki Miyamoto; Kazuhiko Nakayama (IEEE Trans. Syst. Man Cybern., 1986)

Directed Graph Representations of Association Structures: A Systematic Approach. - Sadaaki Miyamoto; Ko Oi; Osamu Abe; Atsuo Katsuya; Kazuhiko Nakayama (IEEE Trans. Syst. Man Cybern., 1986)

Two approaches for information retrieval through fuzzy associations. - Sadaaki Miyamoto (IEEE Trans. Syst. Man Cybern., 1989)

Methods of digraph representation and cluster analysis for analyzing free association. - Sadaaki Miyamoto; Shinsuke Suga; Ko Oi (IEEE Trans. Syst. Man Cybern., 1990)

Editorial. - Sadaaki Miyamoto; Motohide Umano (Int. J. Intell. Syst., 1996)

An overview and new methods in fuzzy clustering. - Sadaaki Miyamoto (KES (1), 1998)

Generalization of discriminant analysis for possibility distributions. - Sadaaki Miyamoto; Masako Sato; Kazutaka Umayahara (KES (3), 1998)

Application of Rough Sets to Information Retrieval. - Sadaaki Miyamoto (J. Am. Soc. Inf. Sci., 1998)

Four c-Regression Methods and Classification Functions. - Sadaaki Miyamoto; Kazutaka Umayahara; Takeshi Nemoto (RSFDGrC, 1999)

Editorial: Applications of Soft Computing to Human-centered Information Systems. - Takehisa Onisawa; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 1999)

An Adaptive Tabu Search (ATS) and Other Metaheuristics for a Class of Optimal Allocation Problems. - Shigeyuki Takahara; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Hierarchical Control System with Fuzzy Supervisory System and PID Controller and Application to Large-Scale Hydrogen Gas Purity Control. - Tetsuji Tani; Takahiro Kobayashi; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Fuzzy Clustering for Detecting Linear Structures with Different Dimensions. - Kazutaka Umayahara; Yoshiteru Nakamori; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Automation of reformer process in petroleum plant using fuzzy supervisory model predictive multivariable control system. - Takahiro Kobayashi; Tetsuji Tani; Sadaaki Miyamoto (FUZZ-IEEE, 2000)

Fuzzy Multisets and Their Generalizations. - Sadaaki Miyamoto (WMP, 2000)

Fuzzy Multisets and Fuzzy Clustering of Documents. - Sadaaki Miyamoto (FUZZ-IEEE, 2001)

An Adaptive Meta-heuiristic Approach Using Partial Optimization to Non-convex Polygons Allocation Problem. - Shigeyuki Takahara; Yoshiyuki Kusumoto; Sadaaki Miyamoto (FUZZ-IEEE, 2001)

Fuzzy c-Means and Mixture Distribution Model for Clustering Based on L1-Space. - Takatsugu Koga; Sadaaki Miyamoto; Osamu Takata (JSAI Workshops, 2001)

Generalizations of Fuzzy Multisets for Including Infiniteness. - Sadaaki Miyamoto (JSAI Workshops, 2001)

Fuzzy c-Means Clustering Using Transformations into High Dimensional Spaces. - Sadaaki Miyamoto; Daisuke Suizu (FSKD, 2002)

Generalized multisets and rough approximations. - Sadaaki Miyamoto (FUZZ-IEEE, 2002)

Fuzzy c-Means and Mixture Distribution Models in the Presence of Noise Clusters. - Sadaaki Miyamoto; Arnold C. Alanzado (Int. J. Image Graph., 2002)

Hierarchical Spherical Clustering. - Vicenç Torra; Sadaaki Miyamoto (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002)

Fuzzy clustering for indexing in the GAMBAL information retrieval system. - Vicenç Torra; Sergi Lanau; Sadaaki Miyamoto (EUSFLAT Conf., 2003)

Fuzzy Multiset Space and c-Means Clustering Using Kernles with Applications to Information Retrieval. - Sadaaki Miyamoto; Kiyotaka Mizutani (IFSA, 2003)

Fuzzy Multiset Model for Information Retrieval and Clustering Using a Kernel Function. - Kiyotaka Mizutani; Sadaaki Miyamoto (ISMIS, 2003)

Proximity measures for terms based on fuzzy neighborhoods in document sets. - Sadaaki Miyamoto (Int. J. Approx. Reason., 2003)

Information clustering based on fuzzy multisets. - Sadaaki Miyamoto (Inf. Process. Manag., 2003)

Algorithms of Hard c-Means Clustering Using Kernel Functions in Support Vector Machines. - Sadaaki Miyamoto; Youichi Nakayama (J. Adv. Comput. Intell. Intell. Informatics, 2003)

Fuzzy c-Means Clustering Using Kernel Functions in Support Vector Machines. - Sadaaki Miyamoto; Daisuke Suizu (J. Adv. Comput. Intell. Intell. Informatics, 2003)

Editorial: Special Issue on Selected Papers from SCIS & ISIS 2002. - Sadaaki Miyamoto; Seiji Yasunobu (J. Adv. Comput. Intell. Intell. Informatics, 2003)

Preface of the guest Editors. - Zhi-Qiang Liu; Sadaaki Miyamoto (Soft Comput., 2003)

Solution for textile nesting problems using adaptive meta-heuristics and grouping. - Shigeyuki Takahara; Yoshiyuki Kusumoto; Sadaaki Miyamoto (Soft Comput., 2003)

LVQ clustering and SOM using a kernel function. - Ryo Inokuchi; Sadaaki Miyamoto (FUZZ-IEEE, 2004)

Multisets and Fuzzy Multisets as a Framework of Information Systems. - Sadaaki Miyamoto (MDAI, 2004)

Fuzzy Multiset Model and Methods of Nonlinear Document Clustering for Information Retrieval. - Sadaaki Miyamoto; Kiyotaka Mizutani (MDAI, 2004)

Evaluating Fuzzy Clustering Algorithms for Microdata Protection. - Vicenç Torra; Sadaaki Miyamoto (Privacy in Statistical Databases, 2004)

Generalizations of multisets and rough approximations. - Sadaaki Miyamoto (Int. J. Intell. Syst., 2004)

Data Structure and Operations for Fuzzy Multisets. - Sadaaki Miyamoto (Trans. Rough Sets, 2004)

On the consistency of a Fuzzy C-Means algorithm for multisets. - Vicenç Torra; Sadaaki Miyamoto (CCIA, 2005)

A Family of Fuzzy and Defuzzified c-Means Algorithms. - Sadaaki Miyamoto; Takeshi Yasukochi; Ryo Inokuchi (CIMCA/IAWTIC, 2005)

Algorithms for Clustering Terms in Document Set Based on Fuzzy Neighborhoods. - Sadaaki Miyamoto; Erina Kataoka (FUZZ-IEEE, 2005)

Kernel-Based Fuzzy Competitive Learning Clustering. - Kiyotaka Mizutani; Sadaaki Miyamoto (FUZZ-IEEE, 2005)

An Evolutionary Approach for the Multiple Container Loading Problem. - Shigeyuki Takahara; Sadaaki Miyamoto (HIS, 2005)

Fuzzy c-Means Clustering in the Presence of Noise Cluster for Time Series Analysis. - Arnold C. Alanzado; Sadaaki Miyamoto (MDAI, 2005)

Possibilistic Approach to Kernel-Based Fuzzy c-Means Clustering with Entropy Regularization. - Kiyotaka Mizutani; Sadaaki Miyamoto (MDAI, 2005)

Modeling Decisions for Artificial Intelligence: Theory, Tools and Applications. - Vicenç Torra; Yasuo Narukawa; Sadaaki Miyamoto (MDAI, 2005)

Classification and clustering of information objects based on fuzzy neighborhood system. - Sadaaki Miyamoto; Yasunori Endo; Satoshi Hayakawa; Erina Kataoka (SMC, 2005)

Defuzzified clustering algorithms derived from the method of entropy-based fuzzy c-means. - Sadaaki Miyamoto; Takeshi Yasukochi; Ryo Inokuchi (SMC, 2005)

Remarks on basics of fuzzy sets and fuzzy multisets. - Sadaaki Miyamoto (Fuzzy Sets Syst., 2005)

Exploration of textual document archives using a fuzzy hierarchical clustering algorithm in the GAMBAL system. - Vicenç Torra; Sadaaki Miyamoto; Sergi Lanau (Inf. Process. Manag., 2005)

L1-Norm based Fuzzy Clustering for Data with Tolerance. - Yasunori Endo; Ryuichi Murata; Hiromi Toyoda; Sadaaki Miyamoto (FUZZ-IEEE, 2006)

Kernelized Cluster Validity Measures and Application to Evaluation of Different Clustering Algorithms. - Ryo Inokuchi; Tetsuya Nakamura; Sadaaki Miyamoto (FUZZ-IEEE, 2006)

Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2006)

Possibilistic and Fuzzy c-Means Clustering with Weighted Objects. - Sadaaki Miyamoto; Ryo Inokuchi; Youhei Kuroda (FUZZ-IEEE, 2006)

Classification and Clustering: A Perspective toward Risk Mining. - Sadaaki Miyamoto (ICDM Workshops, 2006)

Nonparametric Fisher Kernel Using Fuzzy Clustering. - Ryo Inokuchi; Sadaaki Miyamoto (KES (2), 2006)

On Fuzzy c-Means for Data with Tolerance. - Ryuichi Murata; Yasunori Endo; Hideyuki Haruyama; Sadaaki Miyamoto (MDAI, 2006)

On the Use of Variable-Size Fuzzy Clustering for Classification. - Vicenç Torra; Sadaaki Miyamoto (MDAI, 2006)

Lattice-Valued Hierarchical Clustering for Analyzing Information Systems. - Sadaaki Miyamoto (RSCTC, 2006)

A Fuzzy Neighborhood Model for Clustering, Classification, and Approximations. - Sadaaki Miyamoto; Satoshi Hayakawa (RSCTC, 2006)

Kernel Methods for Clustering: Competitive Learning and C-Means. - Ryo Inokuchi; Sadaaki Miyamoto (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006)

Editorial. - Vicenç Torra; Yasuo Narukawa; Sadaaki Miyamoto (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006)

A Family of Polymodal Systems and its Application to Generalized Possibility Measures and Multi-Rough Sets. - Sadaaki Miyamoto; Tetsuya Murai; Yasuo Kudo (J. Adv. Comput. Intell. Intell. Informatics, 2006)

On Fuzzy c-Means for Data with Tolerance. - Ryuichi Murata; Yasunori Endo; Hideyuki Haruyama; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Image clustering for the exploration of video sequences. - Vicenç Torra; Sergi Lanau; Sadaaki Miyamoto (J. Assoc. Inf. Sci. Technol., 2006)

Two Clustering Algorithms for Data with Tolerance based on Hard c-Means. - Yukihiro Hamasuna; Yasunori Endo; Yasushi Hasegawa; Sadaaki Miyamoto (FUZZ-IEEE, 2007)

Agglomerative Hierarchical Clustering for Data with Tolerance. - Yasunori Endo; Yukihiro Hamasuna; Sadaaki Miyamoto (GrC, 2007)

Sparse Possibilistic Clustering with L1 Regularization. - Ryo Inokuchi; Sadaaki Miyamoto (GrC, 2007)

Term Clustering in Texts Based on Fuzzy Neighborhoods and Kernel Functions. - Sadaaki Miyamoto; Satoshi Hayakawa; Yuichi Kawasaki (KES (2), 2007)

Fuzzy c -Means for Data with Tolerance Defined as Hyper-Rectangle. - Yasushi Hasegawa; Yasunori Endo; Yukihiro Hamasuna; Sadaaki Miyamoto (MDAI, 2007)

c -Means Clustering on the Multinomial Manifold. - Ryo Inokuchi; Sadaaki Miyamoto (MDAI, 2007)

Formulation of Fuzzy c -Means Clustering Using Calculus of Variations. - Sadaaki Miyamoto (MDAI, 2007)

Algorithms for Sequential Extraction of Clusters by Possibilistic Clustering. - Sadaaki Miyamoto; Youhei Kuroda (MDAI, 2007)

Kernel Functions Based on Fuzzy Neighborhoods and Agglomerative Clustering. - Sadaaki Miyamoto; Yuichi Kawasaki (MDAI, 2007)

Data Clustering Algorithms for Information Systems. - Sadaaki Miyamoto (RSFDGrC, 2007)

A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image Retrieval. - Tetsuya Murai; Sadaaki Miyamoto; Yasuo Kudo (RSKT, 2007)

Fuzzy c-Means Algorithms for Data with Tolerance Based on Opposite Criterions. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007)

Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization. - Sadaaki Miyamoto; Yasunori Endo; Koki Hanzawa; Yukihiro Hamasuna (J. Adv. Comput. Intell. Intell. Informatics, 2007)

Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with Applications - Sadaaki Miyamoto; Hidetomo Ichihashi; Katsuhiro Honda (Springer, 2008)

Generalized Bags and Bag Relations: Toward an Alternative Model for Fuzzy Set Applications. - Sadaaki Miyamoto (CIMCA/IAWTIC/ISE, 2008)

Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2008)

Fuzzy classification function of fuzzy c-means algorithms for data with tolerance. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2008)

Kernel space for text analysis based on fuzzy neighborhoods. - Sadaaki Miyamoto; Yuichi Kawasaki (FUZZ-IEEE, 2008)

On intuitionistic fuzzy clustering for its application to privacy. - Vicenç Torra; Sadaaki Miyamoto; Yasunori Endo; Josep Domingo-Ferrer (FUZZ-IEEE, 2008)

Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel Function. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (GrC, 2008)

Recent Studies on Algorithms for Fuzzy Clustering. - Sadaaki Miyamoto (GrC, 2008)

Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2008)

Generalized Agglomerative Clustering with Application to Information Systems. - Sadaaki Miyamoto (MDAI, 2008)

Fuzzy c-Means Algorithms for Data with Tolerance Using Kernel Functions. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008)

Algorithms of nonlinear document clustering based on fuzzy multiset model. - Kiyotaka Mizutani; Ryo Inokuchi; Sadaaki Miyamoto (Int. J. Intell. Syst., 2008)

Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range. - Yasunori Endo; Yasushi Hasegawa; Yukihiro Hamasuna; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2008)

Fuzzy c-Means Algorithms Using Kullback-Leibler Divergence and Helliger Distance Based on Multinomial Manifold. - Ryo Inokuchi; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2008)

Formulation of Fuzzy c-Means Clustering Using Calculus of Variations and Twofold Membership Clusters. - Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2008)

Algorithms for Sequential Extraction of Clusters by Possibilistic Method and Comparison with Mountain Clustering. - Sadaaki Miyamoto; Youhei Kuroda; Kenta Arai (J. Adv. Comput. Intell. Intell. Informatics, 2008)

Container Loading for Nonorthogonal Objects: Detecting Collisions. - Vicenç Torra; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2008)

On Tolerant Fuzzy c-Means Clustering with L1-Regularization. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (IFSA/EUSFLAT Conf., 2009)

Fuzzy c-Lines for Data with Tolerance. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (IFSA/EUSFLAT Conf., 2009)

Operations for Real-Valued Bags and Bag Relations. - Sadaaki Miyamoto (IFSA/EUSFLAT Conf., 2009)

An Explicit Mapping for Kernel Data Analysis and Application to Text Analysis. - Sadaaki Miyamoto; Yuichi Kawasaki; Keisuke Sawazaki (IFSA/EUSFLAT Conf., 2009)

On semi-supervised fuzzy c-means clustering. - Yasunori Endo; Yukihiro Hamasuna; Makito Yamashiro; Sadaaki Miyamoto (FUZZ-IEEE, 2009)

On L1-Norm based tolerant fuzzy c-Means clustering. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2009)

Entropy regularized fuzzy C-lines for data with tolerance. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2009)

Different sequential clustering algorithms and sequential regression models. - Sadaaki Miyamoto; Kenta Arai (FUZZ-IEEE, 2009)

On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors. - Yasunori Endo; Yukihiro Hamasuna; Yuchi Kanzawa; Sadaaki Miyamoto (GrC, 2009)

Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (GrC, 2009)

On an extraction method of structural characteristics in object-oriented rough set models. - Yasuo Kudo; Tetsuya Murai; Sadaaki Miyamoto (GrC, 2009)

Generalized bags and their relations: An alternative model for fuzzy set theory and applications. - Sadaaki Miyamoto (GrC, 2009)

Fuzzy semi-supervised clustering with target clusters using different additional terms. - Sadaaki Miyamoto; Mitsuaki Yamazaki; Wataru Hashimoto (GrC, 2009)

Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2009)

Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision Making. - Sadaaki Miyamoto (MDAI, 2009)

Refinement Properties in Agglomerative Hierarchical Clustering. - Sadaaki Miyamoto (MDAI, 2009)

On Tolerant Fuzzy c -Means Clustering. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2009)

Comparison and Evaluation of Different Cluster Validity Measures Including Their Kernelization. - Wataru Hashimoto; Tetsuya Nakamura; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2009)

On the Comparison of Some Fuzzy Clustering Methods for Privacy Preserving Data Mining: Towards the Development of Specific Information Loss Measures. - Vicenç Torra; Yasunori Endo; Sadaaki Miyamoto (Kybernetika, 2009)

Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables. - Yasunori Endo; Kouta Kurihara; Sadaaki Miyamoto; Yukihiro Hamasuna (FUZZ-IEEE, 2010)

Cluster validity measures for data with tolerance. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2010)

Semi-supervised agglomerative hierarchical clustering algorithms with pairwise constraints. - Sadaaki Miyamoto; Akihisa Terami (FUZZ-IEEE, 2010)

Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (GrC, 2010)

Bags, Toll Sets, and Fuzzy Sets. - Sadaaki Miyamoto (IUM, 2010)

Granularity and Approximation in Sequences, Multisets, and Sets in the Framework of Kripke Semantics. - Tetsuya Murai; Seiki Ubukata; Yasuo Kudo; Seiki Akama; Sadaaki Miyamoto (IUM, 2010)

Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2010)

Indefinite Kernel Fuzzy c-Means Clustering Algorithms. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2010)

Algorithms in Sequential Fuzzy Regression Models Based on Least Absolute Deviations. - Hengjin Tang; Sadaaki Miyamoto (MDAI, 2010)

On tolerant fuzzy c-means clustering and tolerant possibilistic clustering. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (Soft Comput., 2010)

Container loading for nonorthogonal objects: an approximation using local search and simulated annealing. - Vicenç Torra; Isaac Cano; Sadaaki Miyamoto; Yasunori Endo (Soft Comput., 2010)

Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings. - Yasunori Endo; Isao Takayama; Yukihiro Hamasuna; Sadaaki Miyamoto (FUZZ-IEEE, 2011)

On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (FUZZ-IEEE, 2011)

A method of explicit mappings for kernel data analysis and applications. - Sadaaki Miyamoto; Keisuke Sawazaki (FUZZ-IEEE, 2011)

Constrained agglomerative hierarchical clustering algorithms with penalties. - Sadaaki Miyamoto; Akihisa Terami (FUZZ-IEEE, 2011)

Fuzzy c-means clustering for data with tolerance using cosine correlation. - Aoi Takahashi; Yasunori Endo; Sadaaki Miyamoto (GrC, 2011)

Text clustering using a multiset model. - Satoshi Takumi; Sadaaki Miyamoto (GrC, 2011)

Inductive vs. transductive clustering using kernel functions and pairwise constraints. - Sadaaki Miyamoto; Akihisa Terami (ISDA, 2011)

Two Classes of Algorithms for Data Clustering. - Sadaaki Miyamoto (IUKM, 2011)

Agglomerative Hierarchical Clustering Using Asymmetric Similarity Based on a Bag Model and Application to Information on the Web. - Satoshi Takumi; Sadaaki Miyamoto (IUKM, 2011)

Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (MDAI, 2011)

Agglomerative Clustering Using Asymmetric Similarities. - Satoshi Takumi; Sadaaki Miyamoto (MDAI, 2011)

Computationally intensive parameter selection for clustering algorithms: The case of fuzzy c-means with tolerance. - Vicenç Torra; Yasunori Endo; Sadaaki Miyamoto (Int. J. Intell. Syst., 2011)

Sequential Extraction of Fuzzy Regression Models: Least Squares and Least absolute Deviations. - Hengjin Tang; Sadaaki Miyamoto (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011)

Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2- and L1-Regularization. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Kernel Functions Derived from Fuzzy Clustering and Their Application to Kernel Fuzzy c-Means. - Jeongsik Hwang; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2011)

KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2011)

Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2011)

A definition for I-fuzzy partitions. - Vicenç Torra; Sadaaki Miyamoto (Soft Comput., 2011)

Erratum to: A definition for I-fuzzy partitions. - Vicenç Torra; Sadaaki Miyamoto (Soft Comput., 2011)

Clustering in tweets using a fuzzy neighborhood model. - Sadaaki Miyamoto; Shohei Suzuki; Satoshi Takumi (FUZZ-IEEE, 2012)

Inductive and non-inductive methods of clustering. - Sadaaki Miyamoto (GrC, 2012)

Hierarchical clustering using transitive closure and semi-supervised classification based on fuzzy rough approximation. - Sadaaki Miyamoto; Satoshi Takumi (GrC, 2012)

Top-down vs bottom-up methods of linkage for asymmetric agglomerative hierarchical clustering. - Satoshi Takumi; Sadaaki Miyamoto (GrC, 2012)

An Overview of Hierarchical and Non-hierarchical Algorithms of Clustering for Semi-supervised Classification. - Sadaaki Miyamoto (MDAI, 2012)

Inductive Clustering and Twofold Approximations in Nearest Neighbor Clustering. - Sadaaki Miyamoto; Satoshi Takumi (MDAI, 2012)

Rough set based non metric model. - Ayako Heki; Yasunori Endo; Sadaaki Miyamoto (SCIS&ISIS, 2012)

A method of two-stage clustering with constraints using agglomerative hierarchical algorithm and one-pass k-means. - Nobuhiro Obara; Sadaaki Miyamoto (SCIS&ISIS, 2012)

Comparing different methods of agglomerative hierarchical clustering with pairwise constraints. - Satoshi Takumi; Sadaaki Miyamoto (SCIS&ISIS, 2012)

Different generalizations of bags. - Sadaaki Miyamoto (Ann. Oper. Res., 2012)

An extension of context model for representing vague knowledge. - Van-Nam Huynh; Sadaaki Miyamoto; Yoshiteru Nakamori (Int. J. Reason. based Intell. Syst., 2012)

Granular hierarchical structures of finite naïve subsets and multisets based on free monoids and homomorphisms. - Tetsuya Murai; Sadaaki Miyamoto; Masahiro Inuiguchi; Seiki Akama (Int. J. Reason. based Intell. Syst., 2012)

On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints. - Yukihiro Hamasuna; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2012)

On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2012)

Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel. - Yuchi Kanzawa; Yasunori Endo; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2012)

Agglomerative Hierarchical Clustering Without Reversals on Dendrograms Using Asymmetric Similarity Measures. - Satoshi Takumi; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2012)

Sequential Regression Models with Pairwise Constraints Using Noise Clusters. - Hengjin Tang; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2012)

Algorithms of crisp, fuzzy, and probabilistic clustering with semi-supervision or pairwise constraints. - Sadaaki Miyamoto; Nobuhiro Obara (GrC, 2013)

Sequential extraction of clusters for imbalanced data. - Hengjin Tang; Sadaaki Miyamoto (GrC, 2013)

An Algorithm Combining Spectral Clustering and DBSCAN for Core Points. - So Miyahara; Yoshiyuki Komazaki; Sadaaki Miyamoto (KSE (2), 2013)

A Method of Two-Stage Clustering with Constraints Using Agglomerative Hierarchical Algorithm and One-Pass k-Means++. - Yusuke Tamura; Nobuhiro Obara; Sadaaki Miyamoto (KSE (2), 2013)

Variables for Controlling Cluster Sizes on Fuzzy c-Means. - Yoshiyuki Komazaki; Sadaaki Miyamoto (MDAI, 2013)

Semi-supervised Sequential Kernel Regression Models with Pairwise Constraints. - Hengjin Tang; Sadaaki Miyamoto (MDAI, 2013)

Introduction to Special Issue on "Foundations and Applications of Granular Computing". - Tsau-Young Lin; Yasuo Kudo; Sadaaki Miyamoto (Int. J. Intell. Syst., 2013)

Nearest Prototype and Nearest Neighbor Clustering with Twofold Memberships Based on Inductive Property. - Satoshi Takumi; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2013)

Fuzzy c-regression models combined with support vector regression. - Tatsuya Higuchi; Sadaaki Miyamoto (FUZZ-IEEE, 2014)

Text clustering using fuzzy neighborhood and evaluation of clusters. - Zhang Canlun; Sadaaki Miyamoto (GrC, 2014)

A family of algorithms using spectral clustering and DBSCAN. - So Miyahara; Sadaaki Miyamoto (GrC, 2014)

A method of two stage clustering using agglomerative hierarchical algorithms with one-pass k-means++ or k-median++. - Yusuke Tamura; Sadaaki Miyamoto (GrC, 2014)

Two-stage clustering using one-pass K-medoids and medoid-based agglomerative hierarchical algorithms. - Yusuke Tamura; Sadaaki Miyamoto (SCIS&ISIS, 2014)

On Some Models of Objective-Based Rough Clustering. - Naohiko Kinoshita; Yasunori Endo; Sadaaki Miyamoto (WI-IAT (1), 2014)

Classification Rules in Methods of Clustering. - Sadaaki Miyamoto (IEEE Intell. Informatics Bull., 2014)

Crisp and Fuzzy Granular Hierarchical Structures Generated from a Free Monoid. - Tetsuya Murai; Sadaaki Miyamoto; Masahiro Inuiguchi; Yasuo Kudo; Seiki Akama (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Hard and Fuzzy c-Medoids for Asymmetric Networks. - Yousuke Kaizu; Sadaaki Miyamoto; Yasunori Endo (IFSA-EUSFLAT, 2015)

Fuzzy non-metric model for data with tolerance and its application to incomplete data clustering. - Yasunori Endo; Tomoyuki Suzuki; Naohiko Kinoshita; Yukihiro Hamasuna; Sadaaki Miyamoto (FUZZ-IEEE, 2015)

Fuzzy Sets, Multisets, and Rough Approximations. - Sadaaki Miyamoto (IUKM, 2015)

Spherical k-Means++ Clustering. - Yasunori Endo; Sadaaki Miyamoto (MDAI, 2015)

Ward method of hierarchical clustering for non-Euclidean similarity measures. - Sadaaki Miyamoto; Ryosuke Abe; Yasunori Endo; Jun-ichi Takeshita (SoCPaR, 2015)

Fuzzy Multisets in Granular Hierarchical Structures Generated from Free Monoids. - Tetsuya Murai; Sadaaki Miyamoto; Masahiro Inuiguchi; Yasuo Kudo; Seiki Akama (J. Adv. Comput. Intell. Intell. Informatics, 2015)

Semi-Supervised Sequential Kernel Regression Models with Penalty Functions. - Hengjin Tang; Sadaaki Miyamoto; Yasunori Endo (J. Adv. Comput. Intell. Intell. Informatics, 2015)

Fuzzy Clustering - Basic Ideas and Overview. - Sadaaki Miyamoto (Handbook of Computational Intelligence, 2015)

Generalizations of Fuzzy c-Means and Fuzzy Classifiers. - Sadaaki Miyamoto; Yoshiyuki Komazaki; Yasunori Endo (IUKM, 2016)

A Note on Even-Sized Clustering Based on Optimization. - Tsubasa Hirano; Yasunori Endo; Naohiko Kinoshita; Sadaaki Miyamoto (SCIS&ISIS, 2016)

Hierarchical and Non-Hierarchical Medoid Clustering Using Asymmetric Similarity Measures. - Sadaaki Miyamoto; Yousuke Kaizu; Yasunori Endo (SCIS&ISIS, 2016)

Fuzzy c-Regression Models for Fuzzy Numbers on a Graph. - Tatsuya Higuchi; Sadaaki Miyamoto; Yasunori Endo (J. Adv. Comput. Intell. Intell. Informatics, 2016)

Contributions of Fuzzy Concepts to Data Clustering. - Sadaaki Miyamoto (Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017)

Hierarchical clustering algorithms with automatic estimation of the number of clusters. - Ryosuke Abe; Sadaaki Miyamoto; Yasunori Endo; Yukihiro Hamasuna (IFSA-SCIS, 2017)

Methods for Clustering Categorical and Mixed Data: An Overview and New Algorithms. - Sadaaki Miyamoto; Van-Nam Huynh; Shuhei Fujiwara (IUKM, 2018)

Generalized Fuzzy c-Means Clustering and Its Theoretical Properties. - Yuchi Kanzawa; Sadaaki Miyamoto (MDAI, 2018)

Optimal Clustering with Twofold Memberships. - Sadaaki Miyamoto; Jong Moon Choi; Yasunori Endo; Van-Nam Huynh (MDAI, 2018)

Editorial: Recent Methodological Developments in Fuzzy Clustering and Related Topics. - Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Regularized Fuzzy c-Means Clustering and its Behavior at Point of Infinity. - Yuchi Kanzawa; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Generalized Fuzzy c-Means Clustering and its Property of Fuzzy Classification Function. - Yuchi Kanzawa; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2021)

Generalization of Tsallis Entropy-Based Fuzzy c-Means Clustering and its Behavior at the Infinity Point. - Yuchi Kanzawa; Sadaaki Miyamoto (J. Adv. Comput. Intell. Intell. Informatics, 2022)