finding
active
finding:correspondence-analysis-reveals-four-clusters-of-related-properties-cluster-1-contrast-not-separateness-roughness-alternating-repetition-good-shape-cluster-2-local-symmetries-the-void-levels-of-scale-good-shape-positive-space-cluster-3-boundaries-strong-centers-deep-interlock-and-ambiguity-cluster-4-simplicity-and-inner-calm-echoes-gradients-positive-space

Correspondence analysis reveals four clusters of related properties: Cluster 1 (Contrast, Not-Separateness, Roughness, Alternating Repetition, Good Shape), Cluster 2 (Local Symmetries, The Void, Levels of Scale, Good Shape, Positive Space), Cluster 3 (Boundaries, Strong Centers, Deep Interlock and Ambiguity), Cluster 4 (Simplicity and Inner Calm, Echoes, Gradients, Positive Space).

Statistical grouping of properties based on dependency patterns, enabling deeper understanding of their coherence and interaction.

Source paper

extracted_from
Understanding Christopher Alexander's Fifteen Properties via Visualization and Analysis
(2014) · Iba, Takashi · Sakai, Shingo

Neighborhood — ranked by edge-count

Claims (1)

claim

Communities (3)

community

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.