1
Tables & features
pick the data to cluster on
2
Hypothesis
AI-suggested derived features
3
Duplicates
redundant features flagged
4
Encoding
each feature → numbers
5
Dimensionality (PCA)
elbow & best pick
6
Clusters
groups & 2-D map
7
Explain & ask
describe the clusters + Q&A
8
Visualizer
cluster types → features & members
9
Auto-pilot
optimise features over rounds + notes