Two Phase Hierarchical Clustering Algorithm for Group Formation in Data Mining

데이터 마이닝에서 그룹 세분화를 위한 2단계 계층적 글러스터링 알고리듬

  • 황인수 (전주대학교 정보기술학부)
  • Published : 2002.05.01

Abstract

Data clustering is often one of the first steps in data mining analysis. It Identifies groups of related objects that can be used as a starling point for exploring further relationships. This technique supports the development of population segmentation models, such as demographic-based customer segmentation. This paper Purpose to present the development of two phase hierarchical clustering algorithm for group formation. Applications of the algorithm for product-customer group formation in customer relationahip management are also discussed. As a result of computer simulations, suggested algorithm outperforms single link method and k-means clustering.

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