- CSB - MetaPress - Google - Bing - Yahoo
 | 2012 | |
|---|---|---|
| c57 |      | Tomoe Entani, Katsuhiro Honda: Group decision support by interval AHP with uncertainty-based hierarchical clustering. FUZZ-IEEE 2012: 1-6 |
| c56 | | Katsuhiro Honda, Arina Kawano, Akira Notsu, Hidetomo Ichihashi: A fuzzy variant of k-member clustering for collaborative filtering with data anonymization. FUZZ-IEEE 2012: 1-6 |
| c55 | | Katsuhiro Honda, Sakuya Nakao, Akira Notsu, Hidetomo Ichihashi: Alternative fuzzy c-lines and comparison with noise clustering in cluster validation. FUZZ-IEEE 2012: 1-6 |
| c54 | | Hidetomo Ichihashi, Toshiro Ogita, Katsuhiro Honda, Akira Notsu: Improvement by sorting and thresholding in PCA based nearest neighbor search. FUZZ-IEEE 2012: 1-6 |
| c53 | | Yui Matsumoto, Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Application of cluster validity criteria to Rock-Paper-Scissors game judgment. FUZZ-IEEE 2012: 1-5 |
| 2011 | ||
| j19 | | Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: A Comparative Study on TIBA Imputation Methods in FCMdd-Based Linear Clustering with Relational Data. Adv. Fuzzy Systems 2011 (2011) |
| j18 | | Katsuhiro Honda, Akira Notsu, Tomohiro Matsui, Hidetomo Ichihashi: Fuzzy Cluster Validation Based on Fuzzy PCA-Guided Procedure. IJFSA 1(1): 49-60 (2011) |
| j17 | | Katsuhiro Honda, Sakuya Nakao, Akira Notsu, Hidetomo Ichihashi: Alternative fuzzy c-lines and local principal component extraction. IJKESDP 3(2): 188-200 (2011) |
| j16 | | Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Variable Weighting in PCA-Guided k-Means and its Connection with Information Summarization. JACIII 15(1): 83-89 (2011) |
| j15 | | Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Non-Euclidean Extension of FCMdd-Based Linear Clustering for Relational Data. JACIII 15(8): 1050-1056 (2011) |
| c52 | | Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu: Comparison of scaling behavior between fuzzy c-means based classifier with many parameters and LibSVM. FUZZ-IEEE 2011: 386-393 |
| c51 | | Hidetomo Ichihashi, Li Chieu Lam, Katsuhiro Honda, Akira Notsu: Ellipse detection with hard c-regression models and random initializations. FUZZ-IEEE 2011: 394-400 |
| c50 | | Katsuhiro Honda, Yui Matsumoto, Akira Notsu, Hidetomo Ichihashi: A study on regularization effects of fuzzified memberships in FCM clustering. FUZZ-IEEE 2011: 416-421 |
| c49 | | Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: FCMdd-type linear fuzzy clustering for incomplete non-Euclidean relational data. FUZZ-IEEE 2011: 792-798 |
| c48 | | Daisuke Yoshida, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Hybrid objective function of Fuzzy c-Varieties and cross-shape fuzzy cluster extraction. FUZZ-IEEE 2011: 799-803 |
| c47 | | Akira Notsu, Yuki Komori, Katsuhiro Honda, Hidetomo Ichihashi: Influence of the space segmentation and its adaptive automation for reinforcement learning. FUZZ-IEEE 2011: 1079-1083 |
| c46 | | Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Partially exclusive condition for sequential fuzzy co-cluster extraction. FUZZ-IEEE 2011: 1695-1700 |
| c45 | | Katsuhiro Honda, Ryoichi Nonoguchi, Akira Notsu, Hidetomo Ichihashi: PCA-guided k-Means clustering with incomplete data. FUZZ-IEEE 2011: 1710-1714 |
| c44 | | Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi: Proposed particle-filtering method for reinforcement learning. FUZZ-IEEE 2011: 1755-1718 |
| c43 | | Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Robust FCMdd-based Linear Clustering for Relational Data with Alternative c-Means Criterion. ICMLA (2) 2011: 334-337 |
| c42 | | Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori, Yuuki Iwamoto: Improvement of Particle Filter for Reinforcement Learning. ICMLA (1) 2011: 454-457 |
| c41 | | Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi, Yuki Komori: Simple Reinforcement Learning for Small-Memory Agent. ICMLA (1) 2011: 458-461 |
| 2010 | ||
| j14 | | Naoki Haga, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Local subspace learning by extended fuzzy c-medoids clustering. IJKESDP 2(2): 169-181 (2010) |
| j13 | | Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Collaborative filtering by sequential user-item co-cluster extraction from rectangular relational data. IJKESDP 2(4): 312-327 (2010) |
| j12 | | Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Fuzzy PCA-Guided Robust k -Means Clustering. IEEE T. Fuzzy Systems 18(1): 67-79 (2010) |
| c40 | | Katsuhiro Honda, Akira Notsu, Tomohiro Matsui, Hidetomo Ichihashi: PCA-guided fuzzy cluster validation with noise rejection. FUZZ-IEEE 2010: 1-6 |
| c39 | | Hidetomo Ichihashi, Tatsuya Katada, Makoto Fujiyoshi, Akira Notsu, Katsuhiro Honda: Improvement in the performance of camera based vehicle detector for parking lot. FUZZ-IEEE 2010: 1-7 |
| c38 | | Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda: Semi-hard c-means clustering with application to classifier design. FUZZ-IEEE 2010: 1-8 |
| 2009 | ||
| j11 | | Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda, Osamu Katai: Visualization of balancing systems based on naïve psychological approaches. AI Soc. 23(2): 281-296 (2009) |
| c37 | | Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda, Tatsuya Katada, Makoto Fujiyoshi: Vacant parking space detector for outdoor parking lot by using surveillance camera and FCM classifier. FUZZ-IEEE 2009: 127-134 |
| c36 | | Katsuhiro Honda, Tomonari Nomaguchi, Akira Notsu, Hidetomo Ichihashi: A comparative study on cluster validity criteria in linear fuzzy clustering and pareto optimality analysis. FUZZ-IEEE 2009: 1101-1106 |
| c35 | | Naoki Haga, Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Cluster validation in linear fuzzy clustering of relational data from multi-cluster principal coordinate analysis view point. FUZZ-IEEE 2009: 1131-1136 |
| c34 | | Kazuya Nagaura, Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda: Benchmarking parameterized fuzzy c-Means classifier. FUZZ-IEEE 2009: 1137-1144 |
| c33 | | Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: Collaborative filtering by sequential extraction of user-item clusters based on structural balancing approach. FUZZ-IEEE 2009: 1540-1545 |
| c32 | | Tomohiro Matsui, Katsuhiro Honda, Chi-Hyon Oh, Akira Notsu, Hidetomo Ichihashi: Cluster validation in k-Means clustering based on PCA-guided k-Means and procrustean transformation of PC scores. FUZZ-IEEE 2009: 1546-1550 |
| c31 | | Akira Notsu, Katsuhiro Honda, Hidetomo Ichihashi: Conceptual graph generation from text documents based on perceptual balance. FUZZ-IEEE 2009: 1551-1556 |
| c30 | | Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi: A fuzzy model-based community simulator for behavior analysis in virtual theme park. FUZZ-IEEE 2009: 1557-1562 |
| c29 | | Shingo Aoki, Kazushige Inoue, Tomoharu Nakashima, Katsuhiro Honda: Efficiency measurement for agent simulation based on DEA with imprecise data. FUZZ-IEEE 2009: 1563-1567 |
| c28 | | Hidetomo Ichihashi, Akira Notsu, Katsuhiro Honda: Triplet of FCM classifiers. FUZZ-IEEE 2009: 1826-1833 |
| c27 | | Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: PCA-Guided k-Means with Variable Weighting and Its Application to Document Clustering. MDAI 2009: 282-292 |
| 2008 | ||
| b1 | | Sadaaki Miyamoto, Hidetomo Ichihashi, Katsuhiro Honda: Algorithms for Fuzzy Clustering - Methods in c-Means Clustering with Applications. Studies in Fuzziness and Soft Computing 229, Springer 2008, isbn 978-3-540-78736-5, pp. 1-233 |
| c26 | | 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 |
| c25 | | Katsuhiro Honda, Takahiro Ohyama, Hidetomo Ichihashi, Akira Notsu: FCM-type switching regression with alternating least squares method. FUZZ-IEEE 2008: 122-127 |
| c24 | | Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Eri Miyamoto: FCM classifier for high-dimensional data. FUZZ-IEEE 2008: 200-206 |
| c23 | | Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Keiichi Ohta: Fuzzy c-means classifier with particle swarm optimization. FUZZ-IEEE 2008: 207-215 |
| c22 | | Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takao Hattori: Classifier of BOLD signals from active and inactive brain states using FCM clustering and evolutionary algorithms. FUZZ-IEEE 2008: 216-224 |
| c21 | | Naoki Haga, Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu: Linear fuzzy clustering of relational data based on extended Fuzzy c-Medoids. FUZZ-IEEE 2008: 366-371 |
| c20 | | Katsuhiro Honda, Akira Notsu, Hidetomo Ichihashi: A Perceptual Approach to User Clustering in Collaborative Filtering. GrC 2008: 281-285 |
| c19 | | 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 |
| c18 | | Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda: State and action space segmentation algorithm in Q-learning. IJCNN 2008: 2384-2389 |
| 2007 | ||
| j10 | | Katsuhiro Honda, Hidetomo Ichihashi: A Regularization Approach to Fuzzy Clustering with Nonlinear Membership Weights. JACIII 11(1): 28-34 (2007) |
| j9 | | Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi: Quantification of Multivariate Categorical Data Considering Typicality of Item. JACIII 11(1): 35-39 (2007) |
| j8 | | Katsuhiro Honda, Ryo Uesugi, Hidetomo Ichihashi: FCM-Type Fuzzy Clustering of Mixed Databases Considering Nominal Variable Quantification. JACIII 11(2): 162-167 (2007) |
| j7 | | 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) |
| c17 | | Hidetomo Ichihashi, Katsuhiro Honda, Yasuhiro Kuramoto, Fumiaki Matsuura: Fuzzy c-Means Classifier for Relational Data. CIDM 2007: 328-334 |
| c16 | | Hidetomo Ichihashi, Katsuhiro Honda, Naho Kuwamoto, Takao Hattori: Post-supervised Fuzzy c-Means Classifier with Hard Clustering. CIDM 2007: 583-589 |
| c15 | | Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu, Takafumi Yagi: Fuzzy c-Means Classifier with Deterministic Initialization and Missing Value Imputation. FOCI 2007: 214-221 |
| c14 | | 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 |
| c13 | | 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 |
| 2006 | ||
| j6 | | 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) |
| c12 | | Hidetomo Ichihashi, Katsuhiro Honda, Akira Notsu: Postsupervised Hard c-Means Classifier. RSCTC 2006: 918-927 |
| c11 | | Katsuhiro Honda, Hidetomo Ichihashi, Akira Notsu, Francesco Masulli, Stefano Rovetta: Several Formulations for Graded Possibilistic Approach to Fuzzy Clustering. RSCTC 2006: 939-948 |
| c10 | | Akira Notsu, Hidetomo Ichihashi, Katsuhiro Honda: Agent-Based Simulation About Social Value Emergence Based on Perceptual Balance. SMC 2006: 724-728 |
| c9 | | Katsuhiro Honda, Ichihashi Hidetomo, Akira Notsu: A Sequential Learning Algorithm for Collaborative Filtering With Linear Fuzzy Clustering. SMC 2006: 1056-1061 |
| 2005 | ||
| j5 | | Katsuhiro Honda, Hidetomo Ichihashi: Regularized Linear Fuzzy Clustering and Probabilistic PCA Mixture Models. IEEE T. Fuzzy Systems 13(4): 508-516 (2005) |
| c8 |  | Hidetomo Ichihashi, Katsuhiro Honda: Fuzzy c-Means Classifier for Incomplete Data Sets with Outliers and Missing Values. CIMCA/IAWTIC 2005: 457-464 |
| c7 | | Chi-Hyon Oh, Katsuhiro Honda, Hidetomo Ichihashi: Quantification of Multivariate Categorical Data Considering Clusters of Items and Individuals. MDAI 2005: 164-171 |
| c6 | | Katsuhiro Honda, Hidetomo Ichihashi: A New Approach to Fuzzification of Memberships in Cluster Analysis. MDAI 2005: 172-182 |
| 2004 | ||
| j4 | | Katsuhiro Honda, Hidetomo Ichihashi: Component-wise robust linear fuzzy clustering for collaborative filtering. Int. J. Approx. Reasoning 37(2): 127-144 (2004) |
| j3 | | Katsuhiro Honda, Yoshihito Nakamura, Hidetomo Ichihashi: Simultaneous Application of Fuzzy Clustering and Quantification with Incomplete Categorical Data. JACIII 8(4): 397-402 (2004) |
| j2 | | Hidetomo Ichihashi, Katsuhiro Honda: Application of Kernel Trick to Fuzzy c-Means with Regularization by K-L Information. JACIII 8(6): 566-572 (2004) |
| j1 | | 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) |
| 2002 | ||
| c5 | | Hidetomo Ichihashi, Katsuhiro Honda: Robust Clustering in Fuzzy C-Means with Regularization by Cross Entropy. FSKD 2002: 471-475 |
| 2001 | ||
| c4 | | Hidetomo Ichihashi, Kiyotaka Miyagishi, Katsuhiro Honda: Fuzzy C-Means Clustering With Regularization by K-L Information. FUZZ-IEEE 2001: 924-927 |
| c3 | | Katsuhiro Honda, Nobukazu Sugiura, Hidetomo Ichihashi, Shoichi Araki: Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering. Web Intelligence 2001: 394-402 |
| 2000 | ||
| c2 | | Chi-Hyon Oh, Eriko Ikeda, Katsuhiro Honda, Hidetomo Ichihashi: Parameter Specification for Fuzzy Clustering by Q-Learning. IJCNN (4) 2000: 9-12 |
| c1 | | Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hidetomo Ichihashi: Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables. IJCNN (3) 2000: 377-380 |
Colors in the list of coauthors
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