A Post Web Document Clustering Algorithm 


Vol. 9,  No. 1, pp. 7-16, Feb.  2002
10.3745/KIPSTB.2002.9.1.7


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  Abstract

The post-clustering algorithms, which cluster the results of Web search engine, have several different requirements from conventional clustering algorithms. In this paper, we propose the new post-clustering algorithm satisfying those requirements as many as possible. The proposed Concept ART is the form of combining the concept vector that have several advantages in document clustering with Fuzzy ART known as real-time clustering algorithms. Moreover we show that it is applicable to general-purpose clustering as well as post-clustering.

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[IEEE Style]

Y. H. Im, "A Post Web Document Clustering Algorithm," The KIPS Transactions:PartB , vol. 9, no. 1, pp. 7-16, 2002. DOI: 10.3745/KIPSTB.2002.9.1.7.

[ACM Style]

Young Hee Im. 2002. A Post Web Document Clustering Algorithm. The KIPS Transactions:PartB , 9, 1, (2002), 7-16. DOI: 10.3745/KIPSTB.2002.9.1.7.

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