Self-organizing topological tree for online vector quantization and data clustering

Self-organizing topological tree for online vector quantization and data clustering

The self-organizing Maps (SOM) introduced by Kohonen implement two important operations: vector quantization (VQ) and a topology-preserving mapping. In this paper, an online self-organizing topological tree (SOTT) with faster learning is proposed. A new learning rule delivers the efficiency and topo...

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書目詳細資料
Main Authors:	Paplinski, Andrew P., Xu, Pengfei, Chang, Chip Hong
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2009
主題:	DRNTU::Engineering::Electrical and electronic engineering
在線閱讀:	https://hdl.handle.net/10356/91435 http://hdl.handle.net/10220/6001
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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