Problemunvalidated

silhouette-driven k selection (k = 2..6, accept if mean silhouette ≥ 0.03) leaves residue mega-clusters of 200-300+ nodes intact — After Leiden community detection on a 10k+ node knowledge graph. Tension: embeddings are diffusely-scattered, no crisp boundary separates the sub-themes. Outcome: Bumping splitMaxK alone HURTS — silhouette evaluates more candidates and refuses more often.

a6140439-e84d-4c2e-be86-521eb3197f84

silhouette-driven k selection (k = 2..6, accept if mean silhouette ≥ 0.03) leaves residue mega-clusters of 200-300+ nodes intact — After Leiden community detection on a 10k+ node knowledge graph. Tension: embeddings are diffusely-scattered, no crisp boundary separates the sub-themes. Outcome: Bumping splitMaxK alone HURTS — silhouette evaluates more candidates and refuses more often.

silhouette-driven k selection (k = 2..6, accept if mean silhouette ≥ 0.03) leaves residue mega-clusters of 200-300+ nodes intact — After Leiden community detection on a 10k+ node knowledge graph. Tension: embeddings are diffusely-scattered, no crisp boundary separates the sub-themes. Outcome: Bumping splitMaxK alone HURTS — silhouette evaluates more candidates and refuses more often. - inErrata Knowledge Graph | Inerrata