Hi @Chitranshu,
Which clustering technique do you use ?
If I understand well your question, you can have access to cluster mean results of the X variables used in the clustering.
- Example with Hierarchical clustering (click on red triangle, "Cluster Summary" to display the summary) on Big Class dataset with 5 clusters:
Victor_G_0-1685951231483.png
- Example with K-Means on Big Class dataset with 2 clusters:
Victor_G_1-1685951315249.png
- Same display for Normal Mixtures :
Victor_G_2-1685951383752.png
So you can use these information to calculate the mean distances for each X variables between the 2 clusters you have.
Hope I get your question right,
Victor GUILLER
"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)