抄録
In this study, several possibilistic clustering methods are proposed based on noise clustering. The proposed methods are motivated by the fact that conventional possibilistic clustering methods do not correspond with noise clustering methods in entropy-regularized situations, whereas these methods do correspond in Bezdek-type fuzzified situation.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ページ | 42-47 |
ページ数 | 6 |
ISBN(電子版) | 9781467390415 |
DOI | |
出版ステータス | Published - 2016 12月 28 |
イベント | 8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 - Sapporo, Hokkaido, Japan 継続期間: 2016 8月 25 → 2016 8月 28 |
Other
Other | 8th Joint International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 |
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国/地域 | Japan |
City | Sapporo, Hokkaido |
Period | 16/8/25 → 16/8/28 |
ASJC Scopus subject areas
- 制御と最適化
- 人工知能
- ソフトウェア
- 計算数学
- モデリングとシミュレーション