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Interview: business asks 'why is customer X in Cluster 3?' — how do you explain?

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Answer

  • (1) Show customer X's features + Cluster 3 mean/std for each feature → highlight top-3 features driving assignment (largest z-score contribution).
  • (2) Show representative medoid / centroid of Cluster 3 alongside X.
  • (3) Decision-tree surrogate: rule-based description of Cluster 3 (e.g. 'high-frequency + high-monetary + monthly recency').
  • (4) SHAP values on the cluster assignment probability.
  • (5) Contrast: how would X have to change to belong to Cluster 2 instead?
  • Standard for stakeholder-friendly cluster interpretability.
Check yourself — multiple choice
  • Random
  • Top-feature contributions (z-score) + medoid comparison + tree-surrogate rule + SHAP on probability + counterfactual to other cluster
  • Just show ID
  • Not real

Explain cluster assignment: top features + medoid + tree rule + SHAP + counterfactual.

#interview#applications#clustering

Practise Unsupervised Learning

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