Sadaaki Miyamoto - researchr alias

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2011

2010

Semi-supervised Agglomerative Hierarchical Clustering Using Clusterwise Tolerance Based Pairwise ConstraintsYukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto. mdai 2010: 152-162 [doi]

Semi-supervised Fuzzy c-Means Clustering Using Clusterwise Tolerance Based Pairwise ConstraintsYukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto. grc 2010: 188-193 [doi]

On tolerant fuzzy ::::c::::-means clustering and tolerant possibilistic clusteringYukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto. soco, 14(5):487-494, 2010. [doi]

Indefinite Kernel Fuzzy ::::c::::-Means Clustering AlgorithmsYuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto. mdai 2010: 116-128 [doi]

Algorithms in Sequential Fuzzy Regression Models Based on Least Absolute DeviationsHengjin Tang, Sadaaki Miyamoto. mdai 2010: 129-139 [doi]

Container loading for nonorthogonal objects: an approximation using local search and simulated annealingVicenÃ§ Torra, Isaac Cano, Sadaaki Miyamoto, Yasunori Endo. soco, 14(5):537-544, 2010. [doi]

2009

On fuzzy c-means clustering for uncertain data using quadratic regularization of penalty vectorsYasunori Endo, Yukihiro Hamasuna, Yuchi Kanzawa, Sadaaki Miyamoto. grc 2009: 148-153 [doi]

On Tolerant Fuzzy c-Means Clustering with L1-RegularizationYukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto. eusflat 2009: 1152-1157 [doi]

Comparison of tolerant fuzzy c-means clustering with L2- and L1-regularizationYukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto. grc 2009: 197-202 [doi]

On Tolerant Fuzzy c -Means ClusteringYukihiro Hamasuna, Yasunori Endo, Sadaaki Miyamoto. jaciii, 13(4):421-428, 2009. [doi]

Comparison and Evaluation of Different Cluster Validity Measures Including Their KernelizationWataru Hashimoto, Tetsuya Nakamura, Sadaaki Miyamoto. jaciii, 13(3):204-209, 2009. [doi]

Fuzzy c-Lines for Data with ToleranceYuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto. eusflat 2009: 861-866 [doi]

Some Pairwise Constrained Semi-Supervised Fuzzy ::::c::::-Means Clustering AlgorithmsYuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto. mdai 2009: 268-281 [doi]

On an extraction method of structural characteristics in object-oriented rough set modelsYasuo Kudo, Tetsuya Murai, Sadaaki Miyamoto. grc 2009: 312-317 [doi]

Operations for Real-Valued Bags and Bag RelationsSadaaki Miyamoto. eusflat 2009: 612-617 [doi]

Fuzzy semi-supervised clustering with target clusters using different additional termsSadaaki Miyamoto, Mitsuaki Yamazaki, Wataru Hashimoto. grc 2009: 444-449 [doi]

Generalized bags and their relations: An alternative model for fuzzy set theory and applicationsSadaaki Miyamoto. grc 2009: 3 [doi]

Refinement Properties in Agglomerative Hierarchical ClusteringSadaaki Miyamoto. mdai 2009: 259-267 [doi]

An Explicit Mapping for Kernel Data Analysis and Application to Text AnalysisSadaaki Miyamoto, Yuichi Kawasaki, Keisuke Sawazaki. eusflat 2009: 618-623 [doi]

Generalized Bags, Bag Relations, and Applications to Data Analysis and Decision MakingSadaaki Miyamoto. mdai 2009: 37-54 [doi]

2008

Fuzzy c-Means for Data with Rectangular Maximum Tolerance RangeYasunori Endo, Yasushi Hasegawa, Yukihiro Hamasuna, Sadaaki Miyamoto. jaciii, 12(5):461-466, 2008. [doi]

Fuzzy c-Means Algorithms Using Kullback-Leibler Divergence and Helliger Distance Based on Multinomial ManifoldRyo Inokuchi, Sadaaki Miyamoto. jaciii, 12(5):443-447, 2008. [doi]

Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel FunctionYuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto. mdai 2008: 122-133 [doi]

Fuzzy Classification Function of Entropy Regularized Fuzzy C-means Algorithm for Data with Tolerance using Kernel FunctionYuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto. grc 2008: 350-355 [doi]

Fuzzy ::::c::::-Means Algorithms for Data with Tolerance Using Kernel FunctionsYuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto. ieicet, 91-A(9):2520-2534, 2008. [doi]

Algorithms for Sequential Extraction of Clusters by Possibilistic Method and Comparison with Mountain ClusteringSadaaki Miyamoto, Youhei Kuroda, Kenta Arai. jaciii, 12(5):448-453, 2008. [doi]

Generalized Agglomerative Clustering with Application to Information SystemsSadaaki Miyamoto. mdai 2008: 158-166 [doi]

Generalized Bags and Bag Relations: Toward an Alternative Model for Fuzzy Set ApplicationsSadaaki Miyamoto. cimca 2008: 380-385 [doi]

Recent Studies on Algorithms for Fuzzy ClusteringSadaaki Miyamoto. grc 2008: 59-60 [doi]

Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with ApplicationsSadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda. Volume 229 of Studies in Fuzziness and Soft Computing, Springer, 2008. [doi]

Formulation of Fuzzy c-Means Clustering Using Calculus of Variations and Twofold Membership ClustersSadaaki Miyamoto. jaciii, 12(5):454-460, 2008. [doi]

Algorithms of nonlinear document clustering based on fuzzy multiset modelKiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto. ijis, 23(2):176-198, 2008. [doi]

Container Loading for Nonorthogonal Objects: Detecting CollisionsVicenç Torra, Sadaaki Miyamoto. jaciii, 12(5):422-425, 2008. [doi]

2007

Agglomerative Hierarchical Clustering for Data with ToleranceYasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto. grc 2007: 404-409 [doi]

Two Clustering Algorithms for Data with Tolerance based on Hard c-MeansYukihiro Hamasuna, Yasunori Endo, Yasushi Hasegawa, Sadaaki Miyamoto. fuzzIEEE 2007: 1-4 [doi]

Fuzzy ::::c:::: -Means for Data with Tolerance Defined as Hyper-RectangleYasushi Hasegawa, Yasunori Endo, Yukihiro Hamasuna, Sadaaki Miyamoto. mdai 2007: 237-248 [doi]

Sparse Possibilistic Clustering with L1 RegularizationRyo Inokuchi, Sadaaki Miyamoto. grc 2007: 442 [doi]

::::c:::: -Means Clustering on the Multinomial ManifoldRyo Inokuchi, Sadaaki Miyamoto. mdai 2007: 261-268 [doi]

Fuzzy ::::c::::-Means Algorithms for Data with Tolerance Based on Opposite CriterionsYuchi Kanzawa, Yasunori Endo, Sadaaki Miyamoto. ieicet, 90-A(10):2194-2202, 2007. [doi]

Metaheuristic Algorithms for Container Loading Problems: Framework and Knowledge UtilizationSadaaki Miyamoto, Yasunori Endo, Koki Hanzawa, Yukihiro Hamasuna. jaciii, 11(1):51-60, 2007. [doi]

Algorithms for Sequential Extraction of Clusters by Possibilistic ClusteringSadaaki Miyamoto, Youhei Kuroda. mdai 2007: 226-236 [doi]

Data Clustering Algorithms for Information SystemsSadaaki Miyamoto. rsfdgrc 2007: 13-24 [doi]

Kernel Functions Based on Fuzzy Neighborhoods and Agglomerative ClusteringSadaaki Miyamoto, Yuichi Kawasaki. mdai 2007: 249-260 [doi]

Term Clustering in Texts Based on Fuzzy Neighborhoods and Kernel FunctionsSadaaki Miyamoto, Satoshi Hayakawa, Yuichi Kawasaki. kes 2007: 517-524 [doi]

Formulation of Fuzzy ::::c:::: -Means Clustering Using Calculus of VariationsSadaaki Miyamoto. mdai 2007: 193-203 [doi]

A Logical Representation of Images by Means of Multi-rough Sets for Kansei Image RetrievalTetsuya Murai, Sadaaki Miyamoto, Yasuo Kudo. rskt 2007: 244-251 [doi]

EditorialVicenç Torra, Yasuo Narukawa, Sadaaki Miyamoto. jaciii, 11(1):3-3, 2007. [doi]

2006

Rough Sets and Current Trends in Computing, 5th International Conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006, ProceedingsSalvatore Greco, Yutaka Hata, Shoji Hirano, Masahiro Inuiguchi, Sadaaki Miyamoto, Hung Son Nguyen, Roman Slowinski, editors, Volume 4259 of Lecture Notes in Computer Science, Springer, 2006.

Nonparametric Fisher Kernel Using Fuzzy ClusteringRyo Inokuchi, Sadaaki Miyamoto. kes 2006: 78-85 [doi]

Kernel Methods for Clustering: Competitive Learning and C-MeansRyo Inokuchi, Sadaaki Miyamoto. ijufks, 14(4):481-493, 2006. [doi]

A Family of Polymodal Systems and its Application to Generalized Possibility Measures and Multi-Rough SetsSadaaki Miyamoto, Tetsuya Murai, Yasuo Kudo. jaciii, 10(5):625-632, 2006. [doi]

Lattice-Valued Hierarchical Clustering for Analyzing Information SystemsSadaaki Miyamoto. rsctc 2006: 909-917 [doi]

A Fuzzy Neighborhood Model for Clustering, Classification, and ApproximationsSadaaki Miyamoto, Satoshi Hayakawa. rsctc 2006: 882-890 [doi]

Classification and Clustering: A Perspective toward Risk MiningSadaaki Miyamoto. icdm 2006: 726-730 [doi]

On Fuzzy ::::c::::-Means for Data with ToleranceRyuichi Murata, Yasunori Endo, Hideyuki Haruyama, Sadaaki Miyamoto. mdai 2006: 351-361 [doi]

On Fuzzy c-Means for Data with ToleranceRyuichi Murata, Yasunori Endo, Hideyuki Haruyama, Sadaaki Miyamoto. jaciii, 10(5):673-681, 2006. [doi]

Image clustering for the exploration of video sequencesVicenç Torra, Sergi Lanau, Sadaaki Miyamoto. jasis, 57(4):577-584, 2006. [doi]

EditorialVicenç Torra, Yasuo Narukawa, Sadaaki Miyamoto. ijufks, 14(4):369-370, 2006. [doi]

On the Use of Variable-Size Fuzzy Clustering for ClassificationVicenç Torra, Sadaaki Miyamoto. mdai 2006: 362-371 [doi]

2005

Fuzzy c-Means Clustering in the Presence of Noise Cluster for Time Series AnalysisArnold C. Alanzado, Sadaaki Miyamoto. mdai 2005: 156-163 [doi]

Remarks on basics of fuzzy sets and fuzzy multisetsSadaaki Miyamoto. fss, 156(3):427-431, 2005. [doi]

A Family of Fuzzy and Defuzzified c-Means AlgorithmsSadaaki Miyamoto, Takeshi Yasukochi, Ryo Inokuchi. cimca 2005: 170-176

Possibilistic Approach to Kernel-Based Fuzzy ::::c::::-Means Clustering with Entropy RegularizationKiyotaka Mizutani, Sadaaki Miyamoto. mdai 2005: 144-155 [doi]

An Evolutionary Approach for the Multiple Container Loading ProblemShigeyuki Takahara, Sadaaki Miyamoto. his 2005: 227-232 [doi]

Exploration of textual document archives using a fuzzy hierarchical clustering algorithm in the GAMBAL systemVicenç Torra, Sadaaki Miyamoto, Sergi Lanau. ipm, 41(3):587-598, 2005. [doi]

Modeling Decisions for Artificial Intelligence, Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005, ProceedingsVicenç Torra, Yasuo Narukawa, Sadaaki Miyamoto, editors, Volume 3558 of Lecture Notes in Computer Science, Springer, 2005.

Modeling Decisions for Artificial Intelligence: Theory, Tools and ApplicationsVicenç Torra, Yasuo Narukawa, Sadaaki Miyamoto. mdai 2005: 1-8 [doi]

On the consistency of a Fuzzy C-Means algorithm for multisetsVicenç Torra, Sadaaki Miyamoto. ccia 2005: 289-295

2004

2003

Preface of the guest EditorsZhi-Qiang Liu, Sadaaki Miyamoto. soco, 7(3):139, 2003. [doi]

Special Issue on Selected Papers from SCIS & ISIS 2002Sadaaki Miyamoto, Seiji Yasunobu. jaciii, 7(2):71, 2003.

Information clustering based on fuzzy multisetsSadaaki Miyamoto. ipm, 39(2):195-213, 2003. [doi]

Proximity measures for terms based on fuzzy neighborhoods in document setsSadaaki Miyamoto. ijar, 34(2-3):181-199, 2003. [doi]

Fuzzy Multiset Space and c-Means Clustering Using Kernles with Applications to Information RetrievalSadaaki Miyamoto, Kiyotaka Mizutani. ifsa 2003: 387-395 [doi]

Fuzzy c-Means Clustering Using Kernel Functions in Support Vector MachinesSadaaki Miyamoto, Daisuke Suizu. jaciii, 7(1):25-30, 2003. [doi]

Algorithms of Hard c-Means Clustering Using Kernel Functions in Support Vector MachinesSadaaki Miyamoto, Youichi Nakayama. jaciii, 7(1):19-24, 2003. [doi]

Fuzzy Multiset Model for Information Retrieval and Clustering Using a Kernel FunctionKiyotaka Mizutani, Sadaaki Miyamoto. ismis 2003: 417-421 [doi]

Solution for textile nesting problems using adaptive meta-heuristics and groupingShigeyuki Takahara, Yoshiyuki Kusumoto, Sadaaki Miyamoto. soco, 7(3):154-159, 2003. [doi]

Fuzzy clustering for indexing in the GAMBAL information retrieval systemVicenç Torra, Sergi Lanau, Sadaaki Miyamoto. eusflat 2003: 54-58 [doi]

2002

Fuzzy c-Means Clustering Using Transformations into High Dimensional SpacesSadaaki Miyamoto, Daisuke Suizu. fskd 2002: 656-660

Fuzzy c-Means and Mixture Distribution Models in the Presence of Noise ClustersSadaaki Miyamoto, Arnold C. Alanzado. ijig, 2(4):573-586, 2002. [doi]

Hierarchical Spherical ClusteringVicenç Torra, Sadaaki Miyamoto. ijufks, 10(2):157-172, 2002. [doi]

2001

Fuzzy c-Means and Mixture Distribution Model for Clustering Based on L::1::-SpaceTakatsugu Koga, Sadaaki Miyamoto, Osamu Takata. jsai 2001: 289-294 [doi]

Generalizations of Fuzzy Multisets for Including InfinitenessSadaaki Miyamoto. jsai 2001: 283-288 [doi]

Fuzzy Multisets and Fuzzy Clustering of DocumentsSadaaki Miyamoto. fuzzIEEE 2001: 1539-1542

An Adaptive Meta-heuiristic Approach Using Partial Optimization to Non-convex Polygons Allocation ProblemShigeyuki Takahara, Yoshiyuki Kusumoto, Sadaaki Miyamoto. fuzzIEEE 2001: 1191-1194

2000

Fuzzy Multisets and Their GeneralizationsSadaaki Miyamoto. wmpi 2001: 225-236 [doi]

1999

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