K-Means Clustering

K-Means Clustering

Elbow Graph below shows the different results by using different number of bins. From both elbow we can conclude that the optimal number of k value is 4.

By using Sillhoutte Score, we can see that at number of bins 3, the more number of cluster, the total score become lower. However, for number bins of 2, the total scores are maintain at starting from cluster 6 until 10.

Scatter plot below shows the result of 4 cluster by using different number of bins.