Finding dominating attributes with in the clusters generated I am having a dataset of customers where each customer is represented as some feature vector and I am applying K-means algorithm to this dataset. On the basis of those features, I can abstract and give names to these clusters. But I want to map demographic features on these clusters to validate my clusters whether they make sense or not.

Now for example I have original data set of 100 customers with 90 females and 10 males.

I suppose find 4 clusters and each is of size 25. In Cluster No: 1,2 and 3, I have all males and no females. In Cluster No: 4, I have 15 males and 10 females.

How to map genders to these clusters to describe clusters as male or female dominating ?

Am I making sense here ?
One way would be:

Cluster data.
Within each cluster, count the number of males and females.
Label each cluster with the majority gender.

Repeat steps 2-3 with each demographic feature of iterest.