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The Experimental Study on the Relationship between Hierarchical Agglomerative Clustering and Compound Nouns Indexing

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2004, v.38 no.4, pp.179-192


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Abstract

In this paper, we present that the result of document clustering can change dramatically with respect to the different ways of indexing compound nouns. First of all, the automatic indexing engine specialized for Korean words analysis, which also serves as the backbone engine for automatic document clustering system, is introduced. Then, the details of hierarchical agglomerative clustering(HAC) method, one of the widely used clustering methodologies in these days, was illustrated. As the result of observing the experiments, carried out in the final part of this paper, it comes to the conclusion that the various modes of indexing compound nouns have an effect on the outcome of HAC.

keywords
Automatic Indexing, Document Clustering, Korean Morphological Analysis, 자동색인, 문서클러스터링, 한글 형태소 분석, Automatic Indexing, Document Clustering, Korean Morphological Analysis

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Journal of the Korean Society for Library and Information Science