8. What is the best way to choose k for K-means?
The elbow approach is used in choosing the K for K-means. This elbow approach functions on the data set by performing K-means clustering. The K here denotes the number of clusters. In the sum of squares, it is defined as the sum of the squared distances between each member of the cluster and its centroid (WSS).
