| 2009 | ||
|---|---|---|
| 45 | Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: PCA-Guided k-Means with Variable Weighting and Its Application to Document Clustering. MDAI 2009: 282-292 | |
| 44 | Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda, Osamu Katai: Visualization of balancing systems based on naïve psychological approaches. AI Soc. 23(2): 281-296 (2009) | |
| 2008 | ||
| 43 | Yu Yamamoto, Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda: Agent-based social simulation based on cognitive economic efficiency. IEEE Congress on Evolutionary Computation 2008: 1089-1094 | |
| 42 | Katsuhiro Honda, Hiromichi Araki, Tomohiro Matsui, Hidetomo Ichihashi: A new approach to robust k-Means clustering based on fuzzy principal component analysis. IJCNN 2008: 208-213 | |
| 41 | Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda: State and action space segmentation algorithm in Q-learning. IJCNN 2008: 2384-2389 | |
| 2007 | ||
| 40 | Hidetomo Ichihashi, Katsuhiro Honda, Yasuhiro Kuramoto, Fumiaki Matsuura: Fuzzy c-Means Classifier for Relational Data. CIDM 2007: 328-334 | |
| 39 | Hidetomo Ichihashi, Katsuhiro Honda, Naho Kuwamoto, Takao Hattori: Post-supervised Fuzzy c-Means Classifier with Hard Clustering. CIDM 2007: 583-589 | |
| 38 | Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Yagi: Fuzzy c-Means Classifier with Deterministic Initialization and Missing Value Imputation. FOCI 2007: 214-221 | |
| 37 | Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takao Hattori: Aggregation of Standard and Entropy Based Fuzzy c-Means Clustering by a Modified Objective Function. FOCI 2007: 447-453 | |
| 36 | Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi, Akira Notsu: Linear Fuzzy Clustering of Mixed Databases Based on Cluster-wise Optimal Scaling of Categorical Variables. FUZZ-IEEE 2007: 1-6 | |
| 35 | Takahiro Yamanoi, Hisashi Toyoshima, Hidetomo Ichihashi: Spatiotemporal brain activities in recalling sentence by loci mnemonic system. SMC 2007: 1878-1883 | |
| 34 | Katsuhiro Honda, Hidetomo Ichihashi, Francesco Masulli, Stefano Rovetta: Linear Fuzzy Clustering With Selection of Variables Using Graded Possibilistic Approach. IEEE T. Fuzzy Systems 15(5): 878-889 (2007) | |
| 33 | Katsuhiro Honda, Hidetomo Ichihashi: A Regularization Approach to Fuzzy Clustering with Nonlinear Membership Weights. JACIII 11(1): 28-34 (2007) | |
| 32 | Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi: Quantification of Multivariate Categorical Data Considering Typicality of Item. JACIII 11(1): 35-39 (2007) | |
| 31 | Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi: FCM-Type Fuzzy Clustering of Mixed Databases Considering Nominal Variable Quantification. JACIII 11(2): 162-167 (2007) | |
| 2006 | ||
| 30 | Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu: Postsupervised Hard c-Means Classifier. RSCTC 2006: 918-927 | |
| 29 | Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu, Francesco Masulli, Stefano Rovetta: Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering. RSCTC 2006: 939-948 | |
| 28 | Katsuhiro Honda, Hidetomo Ichihashi: Fuzzy local independent component analysis with external criteria and its application to knowledge discovery in databases. Int. J. Approx. Reasoning 42(3): 159-173 (2006) | |
| 2005 | ||
| 27 | Hidetomo Ichihashi, Katsuhiro Honda: Fuzzy c-Means Classifier for Incomplete Data Sets with Outliers and Missing Values. CIMCA/IAWTIC 2005: 457-464 | |
| 26 | Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi: Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals. MDAI 2005: 164-171 | |
| 25 | Katsuhiro Honda, Hidetomo Ichihashi: A New Approach to Fuzzification of Memberships in Cluster Analysis. MDAI 2005: 172-182 | |
| 24 | Katsuhiro Honda, Hidetomo Ichihashi: Regularized Linear Fuzzy Clustering and Probabilistic PCA Mixture Models. IEEE T. Fuzzy Systems 13(4): 508-516 (2005) | |
| 2004 | ||
| 23 | Katsuhiro Honda, Hidetomo Ichihashi: Linear fuzzy clustering techniques with missing values and their application to local principal component analysis. IEEE T. Fuzzy Systems 12(2): 183-193 (2004) | |
| 22 | Katsuhiro Honda, Hidetomo Ichihashi: Component-wise robust linear fuzzy clustering for collaborative filtering. Int. J. Approx. Reasoning 37(2): 127-144 (2004) | |
| 21 | Katsuhiro Honda, Yoshihito Nakamura, Hidetomo Ichihashi: Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data. JACIII 8(4): 397-402 (2004) | |
| 20 | Hidetomo Ichihashi, Katsuhiro Honda: Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information. JACIII 8(6): 566-572 (2004) | |
| 2002 | ||
| 19 | Hidetomo Ichihashi, Katsuhiro Honda: Robust Clustering in Fuzzy C-Means with Regularization by Cross Entropy. FSKD 2002: 471-475 | |
| 2001 | ||
| 18 | Hidetomo Ichihashi, Kiyotaka Miyagishi, Katsuhiro Honda: Fuzzy C-Means Clustering With Regularization by K-L Information. FUZZ-IEEE 2001: 924-927 | |
| 17 | Tomoe Entani, Hidetomo Ichihashi, Kazutomi Sugihara, Hideo Tanaka: Analytic Hierarchy Process Based on Interval Analysis. FUZZ-IEEE 2001: 956-959 | |
| 16 | Tomoe Entani, Hidetomo Ichihashi, Hideo Tanaka: Optimistic Priority Weights with an Interval Comparison Matrix. JSAI Workshops 2001: 344-348 | |
| 15 | Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi, Shoichi Araki: Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering. Web Intelligence 2001: 394-402 | |
| 2000 | ||
| 14 | Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hidetomo Ichihashi: Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables. IJCNN (3) 2000: 377-380 | |
| 13 | Chi-Hyon Oh, Eriko Ikeda, Katsuhiro Honda, Hidetomo Ichihashi: Parameter Specification for Fuzzy Clustering by Q-Learning. IJCNN (4) 2000: 9-12 | |
| 1999 | ||
| 12 | Tetsuya Miyoshi, Hidetomo Ichihashi, Kazunori Nagasaka: Fuzzy projection pursuit density estimation by eigenvalue method. Int. J. Approx. Reasoning 20(3): 237-248 (1999) | |
| 1998 | ||
| 11 | Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka, Y. Kanaumi: Structural learning of neurofuzzy GMDH with Minkowski norm. KES (2) 1998: 100-107 | |
| 10 | Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, N. Tani: A pointing device using coordinate transformation of neurofuzzy GMDH. KES (2) 1998: 108-115 | |
| 9 | Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka: Orthogonal and Successive Projection Methods for Learning of Neurofuzzy GMDH. Inf. Sci. 110(1-2): 5-24 (1998) | |
| 8 | Takashi Ohtani, Hidetomo Ichihashi, Tetsuya Miyoshi: Neurofuzzy Cognitive Maps with Adaptive B-Splines. Inf. Sci. 110(1-2): 81-102 (1998) | |
| 1995 | ||
| 7 | Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka, M. Tokunaga, T. Wakamatsu: A neurofuzzy approach to variational problems by using Gaussian membership functions. Int. J. Approx. Reasoning 13(4): 287-302 (1995) | |
| 1993 | ||
| 6 | Masahiro Inuiguchi, Hidetomo Ichihashi, Yasufumi Kume: Modality constrained programming problems: A unified approach to fuzzy mathematical programming problems in the setting of possibility theory. Inf. Sci. 67(1-2): 93-126 (1993) | |
| 5 | Hidetomo Ichihashi, I. Burhan Türksen: A neuro-fuzzy approach to data analysis of pairwise comparisons. Int. J. Approx. Reasoning 9(3): 227-248 (1993) | |
| 1992 | ||
| 4 | Masahiro Inuiguchi, Hidetomo Ichihashi, Yasufumi Kume: Some properties of extended fuzzy preference relations using modalities. Inf. Sci. 61(3): 187-209 (1992) | |
| 3 | M. K. Luhandjula, Hidetomo Ichihashi, Masahiro Inuiguchi: Fuzzy and semi-infinite mathematical programming. Inf. Sci. 61(3): 233-250 (1992) | |
| 1989 | ||
| 2 | Masahiro Inuiguchi, Hidetomo Ichihashi, Hideo Tanaka: Possibilistic Linear Programming with Measurable Multiattribute Value Functions. INFORMS Journal on Computing 1(3): 146-158 (1989) | |
| 1 | Hidetomo Ichihashi, Hideo Tanaka: Jeffrey-like rules of conditioning for the Dempster-Shafer theory of evidence. Int. J. Approx. Reasoning 3(2): 143-156 (1989) | |