A Composite Cluster Analysis Approach for Component Classification


The KIPS Transactions:PartD, Vol. 14, No. 1, pp. 89-96, Feb. 2007
10.3745/KIPSTD.2007.14.1.89,   PDF Download:

Abstract

Various classification methods have been developed to reuse components. These classification methods enable the user to access the needed components quickly and easily. Conventional classification approaches include the following problems: a labor-intensive domain analysis effort to build a classification structure, the representation of the inter-component relationships, difficult to maintain as the domain evolves, and applied to a limited domain. In order to solve these problems, this paper describes a composite cluster analysis approach for component classification. The cluster analysis approach is a combination of a hierarchical cluster analysis method, which generates a stable clustering structure automatically, and a non-hierarchical cluster analysis concept, which classifies new components automatically. The clustering information generated from the proposed approach can support the domain analysis process.


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Cite this article
[IEEE Style]
S. K. Lee, "A Composite Cluster Analysis Approach for Component Classification," The KIPS Transactions:PartD, vol. 14, no. 1, pp. 89-96, 2007. DOI: 10.3745/KIPSTD.2007.14.1.89.

[ACM Style]
Sung Koo Lee. 2007. A Composite Cluster Analysis Approach for Component Classification. The KIPS Transactions:PartD, 14, 1, (2007), 89-96. DOI: 10.3745/KIPSTD.2007.14.1.89.