Yasunori Endo

Orcid: 0000-0003-2968-4613

According to our database1, Yasunori Endo authored at least 127 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
On hard c-means with cluster radius that makes the cluster partition homotopy equivalent to weighted $$\alpha$$-complex.
J. Ambient Intell. Humaniz. Comput., 2023

2021
Network Clustering with Controlled Node Size.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2021

2020
Fuzzy c-Means with Improved Particle Swarm Optimization.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019
Kernel Fuzzy <i>c</i>-Regression Based on Least Absolute Deviation with Modified Huber Function.
J. Adv. Comput. Intell. Intell. Informatics, 2019

Cluster Validity Measures Based Agglomerative Hierarchical Clustering for Network Data.
J. Adv. Comput. Intell. Intell. Informatics, 2019

2018
Fuzzified Even-Sized Clustering Based on Optimization.
J. Adv. Comput. Intell. Intell. Informatics, 2018

Two-Stage Clustering Based on Cluster Validity Measures.
J. Adv. Comput. Intell. Intell. Informatics, 2018

Cluster Validity Measures for Network Data.
J. Adv. Comput. Intell. Intell. Informatics, 2018

Even-Sized Clustering Based on Optimization and its Variants.
J. Adv. Comput. Intell. Intell. Informatics, 2018

A Study on Controlled Node Sized Network Clustering for Unweighted Network Data.
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Even-Sized Clustering with Noise Clustering Method.
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

On Linear Clustering with Constraints on Cluster Size.
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

A Note on Brake System of Train Set with Wheel Slide Protection System.
Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Optimal Clustering with Twofold Memberships.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2018

2017
Agglomerative hierarchical clustering based on local optimization for cluster validity measures.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

On Cell Detection System with User Interaction.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2017

A study on cluster validity measures for clustering network data.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Controlled-sized clustering based on optimization.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Hierarchical clustering algorithms with automatic estimation of the number of clusters.
Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

On various types of controlled-sized clustering based on optimization.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

On Some Clustering Algorithms Based on Tolerance.
Proceedings of the Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017

Various Types of Objective-Based Rough Clustering.
Proceedings of the Fuzzy Sets, Rough Sets, Multisets and Clustering, 2017

2016
Fuzzy <i>c</i>-Regression Models for Fuzzy Numbers on a Graph.
J. Adv. Comput. Intell. Intell. Informatics, 2016

Comparison of Cluster Validity Measures Based <i>x</i>-Means.
J. Adv. Comput. Intell. Intell. Informatics, 2016

On Fuzzy Non-Metric Model for Data with Tolerance and its Application to Incomplete Data Clustering.
J. Adv. Comput. Intell. Intell. Informatics, 2016

A Method of Two-Stage Clustering Based on Cluster Validity Measures.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

Hierarchical and Non-Hierarchical Medoid Clustering Using Asymmetric Similarity Measures.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

A Note on Even-Sized Clustering Based on Optimization.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

On Kernelized Sequential Hard Clustering.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016

On Various Types of Even-Sized Clustering Based on Optimization.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2016

Generalizations of Fuzzy c-Means and Fuzzy Classifiers.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016

2015
Semi-Supervised Sequential Kernel Regression Models with Penalty Functions.
J. Adv. Comput. Intell. Intell. Informatics, 2015

On Objective-Based Rough c-Regression.
J. Adv. Comput. Intell. Intell. Informatics, 2015

On Estimation of Tangential Force in Railways Brake Systems by Fuzzy Inference.
J. Adv. Comput. Intell. Intell. Informatics, 2015

On Hierarchical Linguistic-Based Clustering.
J. Adv. Comput. Intell. Intell. Informatics, 2015

On Objective-Based Rough Clustering with Fuzzy-Set Representation.
J. Adv. Comput. Intell. Intell. Informatics, 2015

Fuzzy c-Means with Quadratic Penalty-Vector Regularization Using Kullback-Leibler Information for Uncertain Data.
J. Adv. Comput. Intell. Intell. Informatics, 2015

On Objective-Based Rough Hard and Fuzzy c-Means Clustering.
J. Adv. Comput. Intell. Intell. Informatics, 2015

On a Family of New Sequential Hard Clustering.
J. Adv. Comput. Intell. Intell. Informatics, 2015

On Sequential Cluster Extraction Based on L1-Regularized Possibilistic c-Means.
J. Adv. Comput. Intell. Intell. Informatics, 2015

On Cluster Extraction from Relational Data Using L1-Regularized Possibilistic Assignment Prototype Algorithm.
J. Adv. Comput. Intell. Intell. Informatics, 2015

Ward method of hierarchical clustering for non-Euclidean similarity measures.
Proceedings of the 7th International Conference of Soft Computing and Pattern Recognition, 2015

Spherical k-Means++ Clustering.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2015

Fuzzy non-metric model for data with tolerance and its application to incomplete data clustering.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Hard and Fuzzy c-Medoids for Asymmetric Networks.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014
On Some Models of Objective-Based Rough Clustering.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

On even-sized clustering algorithm based on optimization.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

On new sequential hard c-medoids.
Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014

A Note on Objective-Based Rough Clustering with Fuzzy-Set Representation.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

Semi-Supervised Hard and Fuzzy c-Means with Assignment Prototype Term.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

Hard and Fuzzy c-means Algorithms with Pairwise Constraints by Non-metric Terms.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2014

On linguistic-based clustering.
Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

On new sequential hard c-means and its kernelization.
Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

2013
On semi-supervised fuzzy c-means clustering for data with clusterwise tolerance by opposite criteria.
Soft Comput., 2013

Non Metric Model Based on Rough Set Representation.
J. Adv. Comput. Intell. Intell. Informatics, 2013

Objective-Based Rough c-Means Clustering.
Int. J. Intell. Syst., 2013

Sequential Extraction by Using Two Types of Crisp Possibilistic Clustering.
Proceedings of the IEEE International Conference on Systems, 2013

On Sequential Cluster Extraction Based on L 1-Regularized Possibilistic Non-metric Model.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

Rough c-Regression Based on Optimization of Objective Function.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

EM-Based Clustering Algorithm for Uncertain Data.
Proceedings of the Knowledge and Systems Engineering, 2013

On Cluster Extraction from Relational Data Using Entropy Based Relational Crisp Possibilistic Clustering.
Proceedings of the Knowledge and Systems Engineering, 2013

2012
Hard and Fuzzy c-Means Clustering with Conditionally Positive Definite Kernel.
J. Adv. Comput. Intell. Intell. Informatics, 2012

On Kernel Fuzzy c-Means for Data with Tolerance Using Explicit Mapping for Kernel Data Analysis.
J. Adv. Comput. Intell. Intell. Informatics, 2012

On Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints.
J. Adv. Comput. Intell. Intell. Informatics, 2012

Comparison of Semi-Supervised Hierarchical Clustering Using Clusterwise Tolerance.
J. Adv. Comput. Intell. Intell. Informatics, 2012

Hard c-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data.
J. Adv. Comput. Intell. Intell. Informatics, 2012

On Entropy Based Fuzzy Non Metric Model ? Proposal, Kernelization and Pairwise Constraints ?.
J. Adv. Comput. Intell. Intell. Informatics, 2012

Rough set based non metric model.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

On sparse possibilistic clustering with crispness - Classification function and sequential extraction.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

On Rough Set Based Non Metric Model.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2012

On FNM-based and RFCM-based fuzzy co-clustering algorithms.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Semi-Supervised Fuzzy c-Means Algorithm by Revising Dissimilarity Between Data.
J. Adv. Comput. Intell. Intell. Informatics, 2011

KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means.
J. Adv. Comput. Intell. Intell. Informatics, 2011

Fuzzy c-Means Clustering for Data with Clusterwise Tolerance Based on L2- and L1-Regularization.
J. Adv. Comput. Intell. Intell. Informatics, 2011

Fuzzy c-Means Clustering for Uncertain Data Using Quadratic Penalty-Vector Regularization.
J. Adv. Comput. Intell. Intell. Informatics, 2011

Computationally intensive parameter selection for clustering algorithms: The case of fuzzy <i>c</i>-means with tolerance.
Int. J. Intell. Syst., 2011

Semi-supervised Agglomerative Hierarchical Clustering with Ward Method Using Clusterwise Tolerance.
Proceedings of the Modeling Decision for Artificial Intelligence, 2011

On Hard <i>c</i>-Means Using Quadratic Penalty-Vector Regularization for Uncertain Data.
Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Fuzzy c-Means Clustering with Mutual Relation Constraints - Construction of Two Types of Algorithms.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2011

Hard and fuzzy c-means clustering with mutual relation constraints.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Fuzzy c-means clustering for data with tolerance using cosine correlation.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

On semi-supervised fuzzy c-means clustering with clusterwise tolerance by opposite criteria.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

On principal component analysis for data with tolerance.
Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

On Mahalanobis distance based fuzzy c-means clustering for uncertain data using penalty vector regularization.
Proceedings of the FUZZ-IEEE 2011, 2011

Kernelized fuzzy c-means clustering for uncertain data using quadratic penalty-vector regularization with explicit mappings.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Container loading for nonorthogonal objects: an approximation using local search and simulated annealing.
Soft Comput., 2010

On tolerant fuzzy <i>c</i>-means clustering and tolerant possibilistic clustering.
Soft Comput., 2010

Indefinite Kernel Fuzzy <i>c</i>-Means Clustering Algorithms.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2010

Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise Constraints.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2010

Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise Constraints.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Cluster validity measures for data with tolerance.
Proceedings of the FUZZ-IEEE 2010, 2010

Hard and fuzzy c-regression models for data with tolerance in independent and dependent variables.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
On the Comparison of Some Fuzzy Clustering Methods for Privacy Preserving Data Mining: Towards the Development of Specific Information Loss Measures.
Kybernetika, 2009

Clustering Algorithm Based on Probabilistic Dissimilarity.
J. Adv. Comput. Intell. Intell. Informatics, 2009

On Tolerant Fuzzy c -Means Clustering.
J. Adv. Comput. Intell. Intell. Informatics, 2009

Some Pairwise Constrained Semi-Supervised Fuzzy <i>c</i>-Means Clustering Algorithms.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularization.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectors.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

Entropy regularized fuzzy C-lines for data with tolerance.
Proceedings of the FUZZ-IEEE 2009, 2009

On L1-Norm based tolerant fuzzy c-Means clustering.
Proceedings of the FUZZ-IEEE 2009, 2009

On semi-supervised fuzzy c-means clustering.
Proceedings of the FUZZ-IEEE 2009, 2009

Fuzzy c-Lines for Data with Tolerance.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

On Tolerant Fuzzy c-Means Clustering with L1-Regularization.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Fuzzy c-Means for Data with Rectangular Maximum Tolerance Range.
J. Adv. Comput. Intell. Intell. Informatics, 2008

Fuzzy <i>c</i>-Means Algorithms for Data with Tolerance Using Kernel Functions.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2008

Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2008

Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel Function.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

On Tolerant Entropy Regularized Fuzzy C-means.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008

On intuitionistic fuzzy clustering for its application to privacy.
Proceedings of the FUZZ-IEEE 2008, 2008

Fuzzy classification function of fuzzy c-means algorithms for data with tolerance.
Proceedings of the FUZZ-IEEE 2008, 2008

Support Vector Machine for data with tolerance based on Hard-margin and Soft-Margin.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge Utilization.
J. Adv. Comput. Intell. Intell. Informatics, 2007

Fuzzy <i>c</i>-Means Algorithms for Data with Tolerance Based on Opposite Criterions.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007

Fuzzy <i>c</i> -Means for Data with Tolerance Defined as Hyper-Rectangle.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2007

Agglomerative Hierarchical Clustering for Data with Tolerance.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Two Clustering Algorithms for Data with Tolerance based on Hard c-Means.
Proceedings of the FUZZ-IEEE 2007, 2007

2006
On Fuzzy c-Means for Data with Tolerance.
J. Adv. Comput. Intell. Intell. Informatics, 2006

On Fuzzy <i>c</i>-Means for Data with Tolerance.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

Fuzzy K-nearest Neighbor and its Application to Recognize of the Driving Environment.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Fuzzy c-Means Clustering for Data with Tolerance Using Kernel Functions.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

L<sub>1</sub>-Norm based Fuzzy Clustering for Data with Tolerance.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Classification and clustering of information objects based on fuzzy neighborhood system.
Proceedings of the IEEE International Conference on Systems, 2005

Dynamic Clustering Based on Universal Gravitation Model.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2005

Evaluation of Control Performance of Multi-stage Fuzzy Reasoning in Anti-lock Braking System for Railways Using Fuzzy Reasoning.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2005

On Dynamic Clustering and Two Options.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
Risk analysis of fuzzy control systems with (<i>n</i>+1)-inputs and 1-output FLC.
Fuzzy Sets Syst., 2004

On some hierarchical clustering algorithms using kernel functions.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004


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