Clustering Using Quadratic Distance Measure Between Densities

확률 분포의 2차 거리 측정을 이용한 클러스터링

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

Abstract

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.

Keywords