I am working on a clustering problem which has 13000 observations and 15 features. Around 3000 observations in the dataset has zero in every features ( i.e all values zero in 3000 rows). I am trying to do clustering on top of it. What is a better way to deal with it ? I have few things in my mind but would like to get clarity on :
- Check for number of rows with all zero and remove them ?
- Include the rows with zero value in every feature and let the clustering algorithm handle the same?
Also,please suggest if there are any better way to handle the same.
Note : I am using k-means clustering.