Number

How to choose the number of clusters in K-means

How to choose the number of clusters in K-means
  1. How do you choose the number of clusters for K-means?
  2. How do I choose the best number of K in k-means clustering?

How do you choose the number of clusters for K-means?

Choose the number of clusters as the smallest value of k such that the gap statistic is within one standard deviation of the gap at k+1: Gap(k)≥Gap(k + 1)−sk + 1.

How do I choose the best number of K in k-means clustering?

There is a popular method known as elbow method which is used to determine the optimal value of K to perform the K-Means Clustering Algorithm. The basic idea behind this method is that it plots the various values of cost with changing k. As the value of K increases, there will be fewer elements in the cluster.

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