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Document Clustering Using Reference Titles

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2010, 27(2), pp.241~252
  • DOI : 10.3743/KOSIM.2010.27.2.241
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : May 27, 2010
  • Accepted : June 17, 2010
  • Published : June 30, 2010

Sanghee Choi 1

1대구가톨릭대학교

Accredited

ABSTRACT

Titles have been regarded as having effective clustering features, but they sometimes fail to represent the topic of a document and result in poorly generated document clusters. This study aims to improve the performance of document clustering with titles by suggesting titles in the citation bibliography as a clustering feature. Titles of original literature, titles in the citation bibliography, and an aggregation of both titles were adapted to measure the performance of clustering. Each feature was combined with three hierarchical clustering methods, within group average linkage, complete linkage, and Ward's method in the clustering experiment. The best practice case of this experiment was clustering document with features from both titles by within-groups average method.

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