Abstract
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.
Original language | English |
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Title of host publication | ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2579-2581 |
Number of pages | 3 |
Volume | 5 |
ISBN (Electronic) | 9810475241, 9789810475246 |
DOIs | |
Publication status | Published - 2002 |
Event | 9th International Conference on Neural Information Processing, ICONIP 2002 - Singapore, Singapore Duration: 2002 Nov 18 → 2002 Nov 22 |
Other
Other | 9th International Conference on Neural Information Processing, ICONIP 2002 |
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Country/Territory | Singapore |
City | Singapore |
Period | 02/11/18 → 02/11/22 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Signal Processing