#MLNotes: Clustering Process and checks before applying clustering on the available data.

This may be over simplified version but this article is more of a review note for a beginner.

The process and checks are simple and is outlined below:

Data Checks

• K-Mean clustering will only work on numeric data and not for categorical data
• Outliers should be removed.
• Data should be scaled appropriately.

Check Clustering Tendency on the available Data

• You may want to measure Clustering Tendency by using Hopkins Statistics Test

Apply Clustering Algorithm

• You may want to use K-Mean algorithm.