USE OF RADIUS WEIGHTED MEAN TO CLUSTER 2-CLASS DATA

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DC Field	Value	Language
dc.contributor.author	YANG, CY	en_US
dc.contributor.author	LIN, JC	en_US
dc.date.accessioned	2014-12-08T15:03:59Z	-
dc.date.available	2014-12-08T15:03:59Z	-
dc.date.issued	1994-05-12	en_US
dc.identifier.issn	0013-5194	en_US
dc.identifier.uri	http://dx.doi.org/10.1049/el:19940516	en_US
dc.identifier.uri	http://hdl.handle.net/11536/2492	-
dc.description.abstract	A new method using the radius weighted mean to cluster two-class data is proposed. Experiments show that the clustering results are good, the computation is fast, and the method is easy to implement. The method can be applied to block truncation coding, codebook generation, and decision tree construction.	en_US
dc.language.iso	en_US	en_US
dc.subject	BLOCK CODES	en_US
dc.subject	PATTERN RECOGNITION	en_US
dc.subject	VECTOR QUANTIZATION	en_US
dc.title	USE OF RADIUS WEIGHTED MEAN TO CLUSTER 2-CLASS DATA	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1049/el:19940516	en_US
dc.identifier.journal	ELECTRONICS LETTERS	en_US
dc.citation.volume	30	en_US
dc.citation.issue	10	en_US
dc.citation.spage	757	en_US
dc.citation.epage	759	en_US
dc.contributor.department	交大名義發表	zh_TW
dc.contributor.department	資訊工程學系	zh_TW
dc.contributor.department	National Chiao Tung University	en_US
dc.contributor.department	Department of Computer Science	en_US
dc.identifier.wosnumber	WOS:A1994NQ48100010	-
dc.citation.woscount	5	-
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