- i. Use KMeans Clustering
- ii. Choose the number of clusters
- iii. Fit the data
- iv. Cluster the Data and Plot it
- i. Within Cluster Sum of Squares (WCSS)
- ii. Declare the range of number of clusters
- iii. Append the WCSS for the iteration
- iv. Plot the WCSS results
- v. Choose the optimal 'K', where K=number of clusters