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Document Clustering Using Reference Titles

인용문헌 표제를 이용한 문헌 클러스터링에 관한 연구

  • Choi, Sang-Hee (Department of Library Science, Catholic University of Daegu)
  • Received : 2010.05.27
  • Accepted : 2010.06.17
  • Published : 2010.06.30

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.

Acknowledgement

Supported by : Catholic University Daegu

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  1. Usability Analysis of Structured Abstracts in Journal Articles for Document Clustering vol.29, pp.1, 2012, https://doi.org/10.3743/KOSIM.2012.29.1.331