文章基本信息

标题：A survey of text clustering techniques used for web mining
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作者：Dan MUNTEANU, Severin BUMBARU
期刊名称：Annals of “Dunarea de Jos”
印刷版ISSN：1221-454X
出版年度：2005
卷号：2005
出版社：“Dunarea de Jos” University of Galati
摘要：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.
关键词：information retrieval, algorithms, machine learning, web mining, text clustering