한국정보과학회:학술대회논문집 (Proceedings of the Korean Information Science Society Conference)

한국정보과학회 (Korean Institute of Information Scientists and Engineers)
권호 표지

확률 분포의 2차 거리 측정을 이용한 클러스터링

Clustering Using Quadratic Distance Measure Between Densities

  • Yongjin Lee (Dept. of Computer Science, Pohang University of Science and Technology) ;
  • Seungjin Choi (Dept. of Computer Science, Pohang University of Science and Technology)
  • 발행 : 2003.10.01
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초록

We derive a simple clustering algorithm which partitions the given data by minimizing overlap between clusters. For simple implementation and less complexity, Parzen window density estimation and quadratic distance measure between densities are adopted.

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