Tiering after clustering with Kmeans

Question

I would like to have some suggestions on possible avenues that would make sense in the following context.

3 Optimal clusters have been identified in a 5000 list of customers using Kmeans
Data model has 30 features and a PCA was performed prior to Kmeans.

I would like to further breakdown each of these 3 clusters into smaller tiers for each cluster. These tiers would server in ranking each customer within his cluster.

For example: Cluster 1, 2, 3 could all have 4 or 5 tiers.

What interesting option could I explore to create the tiers within the 3 clusters (e.g. RFM quantile separation, classification algorithms)?

maybe hierarchical clustering can cluster and subcluster automatically — Nikos M., Nov 09 '21 at 17:53
@NikosM. i've tried kmeans but it isnt performing in a desirable way. hierarchical could be interesting — Roger Steinberg, Nov 09 '21 at 22:14

score 0 · Answer 1 · answered Jan 01 '22 at 18:09

0

One option is hierarchical clustering which builds a hierarchy of clusters.

answered Jan 01 '22 at 18:09

Brian Spiering

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Tiering after clustering with Kmeans

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