Self-organizing maps by difference of convex functions optimization

We offer an efficient approach based on difference of convex functions (DC) optimization for self-organizing maps (SOM). We consider SOM as an optimization problem with a nonsmooth, nonconvex energy function and investigated DC programming and DC algorithm (DCA), an innovative approach in nonconvex...

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Bibliographic Details
Published in:	Data mining and knowledge discovery Vol. 28; no. 5-6; pp. 1336 - 1365
Main Authors:	Le Thi, Hoai An, Nguyen, Manh Cuong
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.09.2014 Springer Nature B.V Springer
Subjects:	Algorithms Artificial Intelligence Chemistry and Earth Sciences Computer Science Control theory Convex analysis Data compression Data mining Data Mining and Knowledge Discovery Direct current Energy Gene expression Information Storage and Retrieval Mapping Mathematical analysis Mathematical models Neighborhoods Neural networks Optimization Optimization techniques Physics Programming Social networks Statistics for Engineering Topography DC programming Self-organizing maps DCA
ISSN:	1384-5810, 1573-756X
Online Access:	Get full text
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