Categorical data visualization and clustering using subjective factors

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/31999

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/31999

Title:	Categorical data visualization and clustering using subjective factors
Authors:	Chang,CH;Ding,ZK
Contributors:	資訊工程研究所
Keywords:	ALGORITHM
Date:	2004
Issue Date:	2010-07-06 18:16:14 (UTC+8)
Publisher:	中央大學
Abstract:	A common issue in cluster analysis is that there is no single correct answer to the number of clusters, since cluster analysis involves human subjective judgement. Interactive visualization is one of the methods where users can decide a proper clustering
Relation:	DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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