Clustering algorithms difference

Question

What is the main difference between K-Means and K-Means++ algorithm?

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proxyyy123 4 years 1 Answer 734 views Member 0

Answer ( 1 )

  1. K-means++ is the algorithm which is used to overcome the drawback posed by the k-means algorithm. This algorithm guarantees a more intelligent introduction of the centroids and improves the nature of the clustering. Apart from the initialization difference, these algorithms are more or less similar.

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