A survey of text clustering techniques used for web mining

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.

Keywords

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