Unique distance measure approach for K-means (UDMA-Km) clustering algorithm

  title={Unique distance measure approach for K-means (UDMA-Km) clustering algorithm},
  author={W.K.D. Pun and A. S. Ali},
  journal={TENCON 2007 - 2007 IEEE Region 10 Conference},
Clustering technique in data mining has received a significant amount of attention from machine learning community in the last few years and become one of the fundamental research areas. Among the vast range of clustering algorithms, K-means is one of the most popular clustering algorithms. The basic principle of the K-means algorithm is to know how different distance measure is defined. It is a critical issue for K-means users. For example, how can we select a unique distance measure method… CONTINUE READING


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