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finding:good-shape-appears-in-multiple-clusters-in-both-4-and-5-cluster-groupings

GOOD SHAPE appears in multiple clusters in both 4 and 5 cluster groupings

Observation that property 'Good Shape' is not exclusive to one cluster, appearing in clusters 1 and 2 (4-cluster) or 2 and 3 (5-cluster).

Source paper

extracted_from

Understanding Christopher Alexander's Fifteen Properties via Visualization and Analysis

(2014) · Iba, Takashi · Sakai, Shingo

Neighborhood — ranked by edge-count

Concepts (1)

concept

Good Shape
about
The property that a good shape is a center made up of powerful intense centers which themselves have good shape; built up from elementary figures with high internal symmetries, bilateral symmetry, a well-marked center, compactness, and closure

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.

POSITIVE SPACE appears in multiple clusters in both 4 and 5 cluster groupingsfinding0.864
Observation that property 'Positive Space' appears in clusters 2 and 4 (4-cluster) and 3 and other (5-cluster).
Cluster 2 (4-cluster): LOCAL SYMMETRIES, THE VOID, LEVELS OF SCALE, GOOD SHAPE, POSITIVE SPACEfinding0.827
Second cluster of the four-cluster grouping, containing properties 7, 13, 1, 6, 5.
Cluster 2 (5-cluster): ROUGHNESS, ALTERNATING REPETITION, GOOD SHAPEfinding0.815
Second cluster of the five-cluster grouping, containing properties 11, 4, 6.
Cluster 3 (4-cluster): BOUNDARIES, STRONG CENTERS, DEEP INTERLOCK AND AMBIGUITYfinding0.813
Third cluster of the four-cluster grouping, containing properties 3, 2, 8.
Cluster 1 (4-cluster): CONTRAST, NOT-SEPARATENESS, ROUGHNESS, ALTERNATING REPETITION, GOOD SHAPEfinding0.807
First cluster of the four-cluster grouping, containing properties 9, 15, 11, 4, 6.
Good shape arises in many natural systems such as leaves, bones, and Chladni patterns, where a strong center is intensified by minor centers.claim0.802
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).finding0.801
Statistical grouping of properties based on dependency patterns, enabling deeper understanding of their coherence and interaction.
Cluster 4 (4-cluster): SIMPLICITY AND INNER CALM, ECHOES, GRADIENTS, POSITIVE SPACEfinding0.788
Fourth cluster of the four-cluster grouping, containing properties 14, 12, 10, 5.