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Variations of the K-Means Method

  • Most of the variants of the k-means which differ in
    • Selection of the initial k means
    • Dissimilarity calculations
    • Strategies to calculate cluster means
  • Handling categorical data: k-modes
    • Replacing means of clusters with modes
    • Using new dissimilarity measures to deal with categorical objects
    • Using a frequency-based method to update modes of clusters
    • A mixture of categorical and numerical data: k-prototype method


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