NetworkX - your Unexpected Assistant for Clustering Analysis
summary
NetworkX is pitched as a concrete assistant: code converts k‑means cluster centers into a fully connected distance graph (pdist then squareform), prunes edges by a threshold (example uses threshold edges at 0.1 with cosine distance), extracts connected components to merge microclusters into higher topics, and renders layouts for publication‑ready visuals. The workflow handles ~40 clusters, reduces redundancy, and produces interpretable groups and diagrams—tested end‑to‑end with pandas, scipy and NetworkX.
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chapters (7)
- 0:00Introduction
- 1:14Graph theory basics
- 5:25NetworkX library
- 7:11Clustering visualization
- 10:22Grouping clusters by topic
- 16:35NetworkX benefits
- 17:22Q&A
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