Tiering after clustering with Kmeans

Question

Tiering after clustering with Kmeans

Roger Steinberg

2022年1月1日 18:09

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)?

Topic unsupervised-learning indexing clustering

Category Data Science

Brian Spiering · Accepted Answer · 2022年1月1日 18:09

1

Brian Spiering answered at 2022年1月1日 18:09

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

Tiering after clustering with Kmeans

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