A survey of text clustering techniques used for web mining

Authors

  • Dan Munteanu “Dunarea de Jos” University of Galati
  • Severin Bumbaru “Dunarea de Jos” University of Galati

Keywords:

information retrieval, algorithms, machine learning, web mining, text clustering

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.

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Published

2005-10-28

Issue

Section

Articles

How to Cite

1.
A survey of text clustering techniques used for web mining. EEAI [Internet]. 2005 Oct. 28 [cited 2026 Nov. 2];28:54-9. Available from: https://ojs.ugal.ro/index.php/eeaci/article/view/711

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