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2013 Fiscal Year Final Research Report

Study on Fuzzy Co-clustering of Incomplete Data

Research Project

  • PDF
Project/Area Number 23500283
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Sensitivity informatics/Soft computing
Research InstitutionOsaka Prefecture University

Principal Investigator

HONDA Katsuhiro  大阪府立大学, 工学(系)研究科(研究院), 教授 (80332964)

Co-Investigator(Kenkyū-buntansha) ICHIHASHI Hidetomo  大阪府立大学, 大学院・工学研究科, 教授 (30151476)
NOTSU Akira  大阪府立大学, 大学院・工学研究科, 准教授 (40405345)
Project Period (FY) 2011 – 2013
Keywordsファジィ理論 / 共クラスタリング / 協調フィルタリング / 意思決定支援 / ファジィクラスタリング
Research Abstract

Cooccurrence information analysis is an important technique for handling such cooccurrence information as purchase history data or document-keyword frequency data with the goal of extracting co-clusters of mutually familiar pairs of objects and items. In applying co-clustering algorithms to collaborative filtering and document summarization, it is needed to handle such data incompleteness as missing elements, noise and non-Euclidean nature. In this research, several co-clustering algorithms, which can handle incomplete cooccurrence information having intrinsic singular features, were studied and applied to personalized recommendation and document analysis for developing human-friendly intelligent information processing techniques.

  • Research Products

    (12 results)

All 2013 2012 2011

All Journal Article (6 results) (of which Peer Reviewed: 4 results) Presentation (6 results)

  • [Journal Article] ロバストk-Meansクラスタリングとファジィ主成分分析2013

    • Author(s)
      本多克宏
    • Journal Title

      日本知能情報ファジィ学会誌

      Volume: Vol. 25, No. 3 Pages: 74-80

  • [Journal Article]2013

    • Author(s)
      K. Honda, A. Kawano, H. Kasugai, A. Notsu
    • Journal Title

      Procedia Computer Science

      Volume: Vol. 22 Pages: 477-484

    • DOI

      10.1016/j.procs.2013.09.126

    • Peer Reviewed
  • [Journal Article] Visualization of Non-Euclidean Relational Data by Robust Linear Fuzzy Clustering Based on FCMdd Framework2013

    • Author(s)
      K. Honda, T. Yamamoto, A. Notsu, H. Ichihashi
    • Journal Title

      Journal of Advanced Computational Intelligence and Intelligent Informatics

      Volume: Vol. 17, No. 2 Pages: 312-317

    • Peer Reviewed
  • [Journal Article] クラスタリングの概念と意思決定支援への応用2012

    • Author(s)
      本多克宏
    • Journal Title

      オペレーションズ, リサーチ

      Volume: Vol. 57, No. 5 Pages: 520-254

  • [Journal Article] Exclusive Partition in FCM-type Co-clustering and Its Application to Collaborative Filtering2012

    • Author(s)
      K. Honda, C.-H. Oh, Y. Matsumoto, A. Notsu, H. Ichihashi
    • Journal Title

      International Journal of Computer Science and Network Security

      Volume: Vol. 12, No. 12 Pages: 52-58

    • URL

      http://paper.ijcsns.org/07_book/201212/20121209.pdf

    • Peer Reviewed
  • [Journal Article] Alternative Fuzzy c-Lines and Local Principal Component Extraction2011

    • Author(s)
      K. Honda, S. Nakao, A. Notsu, H. Ichihashi
    • Journal Title

      International Journal of Knowledge Engineering and Soft Data Paradigms

      Volume: Vol. 3, No. 2 Pages: 188-200

    • DOI

      10.1504/IJKESDP.2011.045728

    • Peer Reviewed
  • [Presentation] k-Medoids法の概念に基づくファジィ共クラスタリング2013

    • Author(s)
      本多克宏, S. Tong, 野津 亮
    • Organizer
      第5回横幹連合コンファレンス
    • Place of Presentation
      高松
    • Year and Date
      2013-12-21
  • [Presentation] 14th InternationalSymposium on Advanced2013

    • Author(s)
      K. Honda, A. Notsu, C.-H. Oh
    • Organizer
      Intelligent Systems
    • Place of Presentation
      Daejeon, Korea
    • Year and Date
      2013-11-16
  • [Presentation] FCM-type Co-clustering with Exclusive Partition of Selected Items and Application to Collaborative Filtering2012

    • Author(s)
      K. Honda, C.-H. Oh, A. Notsu, H. Ichihashi
    • Organizer
      6th International Conference on Soft Computing and Intelligent Systems and 13th International Symposium on Advanced Intelligent Systems
    • Place of Presentation
      Kobe, Japan
    • Year and Date
      2012-11-23
  • [Presentation] A Fuzzy Variant of k-Member Clustering for Collaborative Filtering With Data Anonymization2012

    • Author(s)
      K. Honda, A. Kawano, A. Notsu, H. Ichihashi
    • Organizer
      2012 IEEE International Conference on Fuzzy Systems
    • Place of Presentation
      Brisbane, Australia
    • Year and Date
      2012-06-11
  • [Presentation] Collaborative Filtering by User-Item Fuzzy Co-cluster Extraction with Partially Exclusive Condition2011

    • Author(s)
      K. Honda, A. Notsu, H. Ichihashi
    • Organizer
      12th International Symposium on Advanced Intelligent Systems
    • Place of Presentation
      Suwon, Korea
    • Year and Date
      2011-10-01
  • [Presentation] Partially Exclusive Condition for Sequential Fuzzy Co-cluster Extraction2011

    • Author(s)
      K. Honda, A. Notsu, H. Ichihashi
    • Organizer
      2011 IEEE International Conference on Fuzzy Systems
    • Place of Presentation
      Taipei, Taiwan
    • Year and Date
      2011-06-29

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Published: 2015-07-16  

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