nearest-neighbor-chain
CommunityPartition topics by greedy similarity chaining
Data & Analytics#document consolidation#clustering#cross-referencing#nearest neighbor#topic segmentation#similarity matrix#semantic chaining
Authorthistleknot
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It turns a pairwise similarity matrix into an ordered set of semantic chains that expose topic boundaries, reducing the effort needed to consolidate or segment related documents.
Core Features & Use Cases
- Greedy nearest-neighbor chain decomposition: walks above-threshold pairs sorted by descending similarity and extends chains only at their endpoints, producing ragged chains that act as semantic threads.
- Threshold-controlled grouping: uses a cutoff τ so weak connections become singletons and prevent over-merging.
- Topic-boundary prescriptions: supports score-range outcomes such as MERGE, migrate, or xref for downstream consolidation and cross-referencing.
Quick Start
Use nearest-neighbor-chain on your documents’ correlation matrix to generate ordered semantic chains using a chosen τ cutoff for topic segmentation and consolidation planning.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: nearest-neighbor-chain Download link: https://github.com/thistleknot/skills/archive/main.zip#nearest-neighbor-chain Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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