A Survey Text Clustering Techniques Used for Web Mining

dc.contributor.author	Munteanu, Dan
dc.contributor.author	Bumbaru, Severin
dc.date.accessioned	2016-01-13T07:41:35Z
dc.date.available	2016-01-13T07:41:35Z
dc.date.issued	2005
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3856
dc.description	"Dunarea de Jos" University of Galati	en_US
dc.description.abstract	This paper contains an overview of basic formulations and approaches to clustering. Then it presents two important clustering paradigms: a bottom-up agglomerative technique, which collects similar documents into larger and larger groups, and a top-down partitioning technique, which divides a corpus into topic-oriented partitions.	en_US
dc.language.iso	en	en_US
dc.publisher	"Dunarea de Jos" of Galati	en_US
dc.subject	information retrieval	en_US
dc.subject	machine learning	en_US
dc.subject	web mining	en_US
dc.title	A Survey Text Clustering Techniques Used for Web Mining	en_US
dc.type	Article	en_US