On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data

研究成果: Conference contribution

抄録

In this paper, six fuzzy clustering algorithms for incomplete data are proposed that use the optimal completion strategy, three of which are for incomplete spherical data and these of which are for incomplete categorical multivariate data. In numerical experiments using a real dataset, each of the proposed methods outperformed its counterpart method based on the whole data strategy (WDS) in terms of accuracy.

本文言語English
ホスト出版物のタイトルProceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ638-643
ページ数6
ISBN(電子版)9781538626337
DOI
出版ステータスPublished - 2019 5 15
イベントJoint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 - Toyama, Japan
継続期間: 2018 12 52018 12 8

出版物シリーズ

名前Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018

Conference

ConferenceJoint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
国/地域Japan
CityToyama
Period18/12/518/12/8

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用
  • 論理
  • 人工知能
  • 計算理論と計算数学
  • コンピュータ サイエンスの応用
  • 理論的コンピュータサイエンス

フィンガープリント

「On fuzzy clustering for incomplete spherical data and for incomplete multivariate categorical data」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル