After clustering, is there a way to explain the clusters? Or get the boundaries of the clusters?
For example: If we have a data set of people's spending habits with columns for their spend in different categories like groceries, clothing, transportation, rent etc. And we applied a clustering algorithm (like k-means or agglomerative clustering) on it. Can we get descriptions of clusters, like:
Cluster 1 contains people who spend
- More than \$500 on groceries
- Less than \$200 on transportation
Cluster 2 contains people who spend
- Less than \$100 on rent
- Less than \$300 on transportation
- More than \$50 on transportation
Basically I need an explanation which is meaningful to a layman user.