Structural cluster comparison · Teresa Leger Fernandez

Cluster comparison

Side-by-side view of Teresa Leger Fernandez's 6-axis behavioral signature against the 3 most structurally-similar tracked entities. Similarity is computed by cosine distance over the metric vector — entities sharing a row do not share a connection, only a behavioral shape.

Methodology — read this first. Cluster membership is a structural observation about documented behavior, never a claim of social affinity, coordination, or shared intent. Two entities can share a behavioral cluster without ever having interacted. The platform does not infer motive or internal state.

Axis	Teresa Leger Fernandez this entity	David J. Taylor 99.9% similarity	Gary Peters 99.8% similarity	Tim Moore 99.6% similarity
Documentation Density	68 (61 facts)	68 (60 facts)	74 (87 facts)	70 (68 facts)
Conduct Contradiction	0 (0/0)	0 (0/0)	0 (0/0)	0 (0/0)
Inferential Dependency	11 (7/61)	8 (5/60)	14 (12/87)	10 (7/68)
Network Centrality	85 (50 conn)	82 (48 conn)	96 (84 conn)	85 (50 conn)
Capital Flow Asymmetry	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)	50 ($0.0M in)
Structural Density	15 (3 findings)	10 (2 findings)	10 (3 findings)	4 (1 findings)

Comparison derived from the same Signature data each entity's /conduct-profile/<slug>/signature page uses. JSON export at /signature.json.