Issues Related to Data Mining with Self Organizing Maps

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" Issues Related to Data Mining with Self Organizing Maps "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	148956
Doc. No	:	ET20748
Main Entry	:	Abha Jain
Title Proper	:	Issues Related to Data Mining with Self Organizing Maps
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	This thesis demonstrates that the clustering by Kohonen's Self-organizing Map al-gorithm (KSOM) can be significantly improved by magnzficatzon control. As a secondcontribution, the thesis proposes a fully automated technique for clustering the proto-types of the data (SOM weights). The motivation for this work comes from a seriousneed for effective, precise,.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL43889.pdf
Title and statement of responsibility and	:	Issues Related to Data Mining with Self Organizing Maps [Thesis]