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 Victor_G_0-1685951231483.png](https://community.jmp.com/t5/image/serverpage/image-id/53405i9A1B1F6B68968B34/image-size/medium?v=v2&px=400)
- Example with K-Means on Big Class dataset with 2 clusters:
![Victor_G_1-1685951315249.png Victor_G_1-1685951315249.png](https://community.jmp.com/t5/image/serverpage/image-id/53406i5929B600B81233E6/image-dimensions/295x209?v=v2)
- Same display for Normal Mixtures :
![Victor_G_2-1685951383752.png Victor_G_2-1685951383752.png](https://community.jmp.com/t5/image/serverpage/image-id/53407iD9AED7212AAE8C4A/image-dimensions/295x292?v=v2)
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
Scientific Expertise Engineer
L'Oréal - Data & Analytics