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What Is the Problem of the K-Means Method?

  • The k-means algorithm is sensitive to outliers !
    • Since an object with an extremely large value may substantially distort the distribution of the data
  • K-Medoids:  Instead of taking the mean value of the object in a cluster as a reference point, medoids can be used, which is the most centrally located object in a cluster

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