HDBSCAN Clustering

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

• High Density Feature Clusterconcept0.749
  Mode in feature density histogram around 1e-5 corresponding to interpretable features, contrasted with ultralow density cluster
• Behavior Clusteringconcept0.732
  Grouping similar model behaviors; the unsupervised method surfaces clusters of concerning patterns.
• Cluster 3 (4-cluster): BOUNDARIES, STRONG CENTERS, DEEP INTERLOCK AND AMBIGUITYfinding0.727
  Third cluster of the four-cluster grouping, containing properties 3, 2, 8.
• Cluster 1 (4-cluster): CONTRAST, NOT-SEPARATENESS, ROUGHNESS, ALTERNATING REPETITION, GOOD SHAPEfinding0.722
  First cluster of the four-cluster grouping, containing properties 9, 15, 11, 4, 6.
• Unsupervised Behavior Clusteringmethod0.719
  Method that clusters behaviors without prior labels, used to surface concerning learned patterns.
• Properties in each cluster appear to be similar or interrelatedclaim0.717
  Interpretive claim that the statistically derived clusters reflect conceptual similarity or interdependence among the properties.
• GOOD SHAPE appears in multiple clusters in both 4 and 5 cluster groupingsfinding0.715
  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).
• k-means clusteringmethod0.714
  Unsupervised feature-finding method using cluster centroid difference as feature direction