抄録
We propose SOMDS that is a combination of MDS (multidimensional scaling) and SOM. SOMDS is a special type of MDS that can learn locally and adaptively the structure of similarity data. SOMDS is a special type of SOM without neighborhood functions and whose inputs are similarities between objects. Convergence properties of the algorithm and some applications are presented.
本文言語 | English |
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ホスト出版物のタイトル | ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ページ | 2579-2581 |
ページ数 | 3 |
巻 | 5 |
ISBN(電子版) | 9810475241, 9789810475246 |
DOI | |
出版ステータス | Published - 2002 |
イベント | 9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore 継続期間: 2002 11月 18 → 2002 11月 22 |
Other
Other | 9th International Conference on Neural Information Processing, ICONIP 2002 |
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国/地域 | Singapore |
City | Singapore |
Period | 02/11/18 → 02/11/22 |
ASJC Scopus subject areas
- コンピュータ ネットワークおよび通信
- 情報システム
- 信号処理