Clustering Dr. Jieh-Shan George YEH [email protected].

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  • Slide 1
  • Clustering Dr. Jieh-Shan George YEH [email protected]
  • Slide 2
  • k-Means Clustering k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. The problem is computationally difficult (NP- hard)
  • Slide 3
  • k-Means Clustering: Example iris2

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