On a multicriteria fuzzy Clustering Method for 3-Way Data. - Mika Sato; Yoshiharu Sato (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994)

General fuzzy clustering model and neural networks. - Mika Sato; Yoshiharu Sato; Lakhmi C. Jain (Electronic Technology Directions, 1995)

On A General Fuzzy Additive Clustering Model. - Mika Sato; Yoshiharu Sato (Intell. Autom. Soft Comput., 1995)

Fuzzy clustering models and applications. - Mika Sato; Yoshiharu Sato; Lakhmi C. Jain (Springer, 1997)

Asymmetry for dynamic fuzzy clustering models. - Mika Sato; Yoshiharu Sato (KES (2), 1998)

A clustering model on similarities for dynamic changes. - Mika Sato-Ilic (SMC, 1998)

On Dynamic Clustering Models for 3-way Data. - Mika Sato-Ilic (J. Adv. Comput. Intell. Intell. Informatics, 1999)

Classification Based on Relational Fuzzy C-Means for 3-Way Data. - Mika Sato-Ilic (ICEIS, 2000)

On evaluation of clustering using homogeneity analysis. - Mika Sato-Ilic (SMC, 2000)

Survival and Viral Load in Four Groups of HIV-1 Infected Hemophiliacs Compared by Three-way Data Clustering. - Shinobu Tatsunami; Rie Kuwabara; Tomoko Hiroi; Hiroaki Matsui; Katsuyuki Fukutake; Junichi Mimaya; Kaneo Yamada; Mika Sato (MedInfo, 2001)

Weighted principal component analysis for interval-valued data based on fuzzy clustering. - Mika Sato-Ilic (SMC, 2003)

Fuzzy clustering based weighted principal component analysis for interval-valued data considering uniqueness of clusters. - Mika Sato-Ilic (SMC (3), 2004)

On Fuzzy Clustering Based Self-Organized Methods. - Mika Sato-Ilic; Tomoyuki Kuwata (FUZZ-IEEE, 2005)

Innovations in Fuzzy Clustering - Theory and Applications - Mika Sato-Ilic; Lakhmi C. Jain (Springer, 2006)

Genralized fuzzy cluster loading model. - Mika Sato-Ilic; Toshiya Shijo (FUZZ-IEEE, 2006)

Innovations in Soft Data Analysis. - Mika Sato-Ilic; Lakhmi C. Jain (KES (2), 2006)

Fuzzy Structural Classification Methods. - Mika Sato-Ilic; Tomoyuki Kuwata (KES (2), 2006)

Dynamic fuzzy clustering using fuzzy cluster loading. - Mika Sato-Ilic (Int. J. Gen. Syst., 2006)

Asymmetric Clustering Based on Self-Similarity. - Mika Sato-Ilic; Lakhmi C. Jain (IIH-MSP, 2007)

Weighted fuzzy clustering on subsets of variables. - Mika Sato-Ilic (ISSPA, 2007)

Variable Based Fuzzy Blocking Regression Model. - Mika Sato-Ilic (KES (2), 2007)

Clustering objects with degree of classification. - Mika Sato-Ilic (FUZZ-IEEE, 2008)

Fuzzy Blocking Regression Models. - Mika Sato-Ilic (Computational Intelligence Paradigms, 2008)

Generalized kernel fuzzy clustering model. - Mika Sato-Ilic; Shota Ito; Shota Takahashi (FUZZ-IEEE, 2009)

An adaptive cluster-target covariance based principal component analysis for interval-valued data. - Mika Sato-Ilic (FUZZ-IEEE, 2010)

Dissimilarity Based Principal Component Analysis Using Fuzzy Clustering. - Mika Sato-Ilic (IUM, 2010)

Generalized operators and its application to a nonlinear fuzzy clustering model. - Mika Sato-Ilic (CIBCB, 2011)

Symbolic Clustering with Interval-Valued Data. - Mika Sato-Ilic (Complex Adaptive Systems, 2011)

Two Covariances Harnessing Fuzzy Clustering Based PCA for Discrimination of Microarray Data. - Mika Sato-Ilic (CIBB, 2012)

Structural classification based correlation and its application to principal component analysis for high-dimension low-sample size data. - Mika Sato-Ilic (FUZZ-IEEE, 2012)

A learning based self-organized additive fuzzy clustering method and its application for EEG data. - Tomoyuki Kuwata; Mika Sato-Ilic; Lakhmi C. Jain (Int. J. Knowl. Based Intell. Eng. Syst., 2012)

Contralateral white noise attenuates 40-Hz auditory steady-state fields but not N100m in auditory evoked fields. - Tetsuaki Kawase; Atsuko Maki; Akitake Kanno; Nobukazu Nakasato; Mika Sato; Toshimitsu Kobayashi (NeuroImage, 2012)

Analysis of Web Survey Data based on Similarity of Fuzzy Clusters. - Ryunosuke Chiba; Mika Sato-Ilic (Complex Adaptive Systems, 2012)

Preface to Part III Adaptive Big Data Analytics. - Mika Sato-Ilic (Complex Adaptive Systems, 2012)

On Fuzzy Clustering based Correlation. - Mika Sato-Ilic (Complex Adaptive Systems, 2012)

Part IV: Data Science and Analytics. - Mika Sato-Ilic (Complex Adaptive Systems, 2013)

Fuzzy Dissimilarity based Multidimensional Scaling and its Application to Collaborative Learning Data. - Mika Sato-Ilic; Peter Ilic (Complex Adaptive Systems, 2013)

Ultrasonic and photoacoustic imaging of knee joints in normal and osteoarthritis rats. - Takuya Izumi; Mika Sato; Yutaka Yabe; Yoshihiro Hagiwara; Yoshifumi Saijo (EMBC, 2013)

Special issue: Computational intelligence models for image processing and information reasoning. - Chee Peng Lim; Canicious Abeynayake; Mika Sato-Ilic; Lakhmi C. Jain (J. Intell. Fuzzy Syst., 2013)

Part V: Data Science and Analytics Preface. - Mika Sato-Ilic (Complex Adaptive Systems, 2014)

On a Multidimensional Cluster Scaling. - Mika Sato-Ilic; Peter Ilic (Complex Adaptive Systems, 2014)

Universal fuzzy clustering model. - Mika Sato-Ilic (FUZZ-IEEE, 2014)

A Fuzzy Clustering Method Using the Relative Structure of the Belongingness of Objects to Clusters. - Tosei Hatori; Mika Sato-Ilic (KES, 2014)

Fuzzy Correlational Direction Multidimensional Scaling. - Mika Sato-Ilic (SOFA (2), 2014)

Multidimensional Joint Scale and Cluster Analysis. - Mika Sato-Ilic (Complex Adaptive Systems, 2015)

A Variable Selection Method Considering Cluster Loading for Labeled High Dimension Low Sample Size Data. - Jiaxin Chen; Mika Sato-Ilic (KES, 2015)

Visualization of Fuzzy Clustering Result in Metric Space. - Mika Sato-Ilic; Peter Ilic (KES, 2016)

Cluster identification and scaling methods based on comparative quantification for dissimilarity data. - Mika Sato-Ilic; Peter Ilic (FUZZ-IEEE, 2017)

Estimation of Business Demography Statistics: A Method for Analyzing Job Creation and Destruction. - Masao Takahashi; Mika Sato-Ilic; Motoi Okamoto (KES-IDT, 2018)

Supervised Multiclass Classifier for Autocoding Based on Partition Coefficient. - Yukako Toko; Kazumi Wada; Shinya Iijima; Mika Sato-Ilic (KES-IDT, 2018)

Quantification and Visualization for Difference of Fuzzy Clustering Results. - Mika Sato-Ilic (FUZZ-IEEE, 2019)

A Constrained Cluster Analysis with Homogeneity of External Criterion. - Masao Takahashi; Tomoo Asakawa; Mika Sato-Ilic (KES-IDT, 2020)

Improvement of the Training Dataset for Supervised Multiclass Classification. - Yukako Toko; Mika Sato-Ilic (KES-IDT, 2020)

A Classification Method Based on Ensemble Learning of Deep Learning and Multidimensional Scaling. - Kazuya Miyazawa; Mika Sato-Ilic (KES-IDT, 2021)

Individual Difference Assessment Method Based on Cluster Scale Using a Data Reduction Method. - Kazuki Nitta; Mika Sato-Ilic (KES-IDT, 2021)

A Hybrid Method of Multi-class SVM and Classification Method Based on Reliability Score for Autocoding of the Family Income and Expenditure Survey. - Yukako Toko; Mika Sato-Ilic (KES-IDT, 2021)

Fuzzy Clustering Models and Their Related Concepts. - Mika Sato-Ilic (Fuzzy Approaches for Soft Computing and Approximate Reasoning, 2021)

Advances in Fuzzy Clustering Used in Indicator for Individuality. - Mika Sato-Ilic (Advances in Selected Artificial Intelligence Areas, 2022)

Fuzzy cluster-scaled principal component analysis for mixed data and its application of educational effect based on device selection. - Mika Sato-Ilic; Peter Ilic (KES, 2023)

Hierarchical Support Vector Machine based Classifier for Autocoding. - Yukako Toko; Mika Sato-Ilic (KES, 2023)

Fuzzy clustering based classifier for extraction of individualities from high dimension low sample size data. - Mika Sato-Ilic (Intell. Decis. Technol., 2023)

Simultaneous visualization method for mixed HDLSS data and its application for education. - Mika Sato-Ilic; Peter Ilic (KES, 2024)

Comparison of fuzzy clustering based SVM with reinforcement learning based SVM for autocoding of the Family Income and Expenditure Survey. - Yukako Toko; Mika Sato-Ilic (KES, 2024)