Context-controlled clustering: NLP/NLU hidden relationship network examples

Predicted price correlations between equities

Based on known & hidden relationship detection in data using NLP/NLU (Natural Language Processing/Understanding)
Sector: Pharmaceuticals

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Example 1. Cluster: Celgene (CELG) - case study included

Context-control: celg
Min Relationship Strength: 0.000001
Max Branch Depth: 3
Max Branches: 10
Max Nodes: 10

(click image to enlarge)

Example 2. Cluster: Context-contol is not set, 'uncontrolled'

Context-control: uncontrolled
Min Relationship Strength: 0.000001
Max Branch Depth: 3
Max Branches: 50
Max Nodes: 50

Example 3. Cluster: Min Relationship Strength parameter
is set to 0.05, context is uncontrolled

Context-control: uncontrolled
Min Relationship Strength: 0.05
Max Branch Depth: 3
Max Branches: 10
Max Nodes: 10

Example 4. Cluster: Context-control parameter is set to 'Humira (drug)'

Context-control: Humira (drug)
Min Relationship Strength: 0.000001
Max Branch Depth: 3
Max Branches: 10
Max Nodes: 10

Example 5. Cluster: Company parameter is set to 'Geron (GERN)', context control parameter is set to 'DNA repair genes'

Context-control: gern, dna repair genes
Min Relationship Strength: 0.000001
Max Branch Depth: 3
Max Branches: 10
Max Nodes: 10