custom-distance-metrics
OfficialDesign custom similarity metrics for clustering.
AuthorGeneralReasoning
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Define application-specific distance metrics for clustering and ML tasks.
Core Features & Use Cases
- Custom metric functions for sklearn DBSCAN and scipy distance calculations
- Parameterized distance functions via closures or factories
- Use cases include computing distance matrices and pairwise distances for domain-specific data
Quick Start
Create a simple distance function and pass it to a clustering algorithm such as DBSCAN to see your custom metric in action.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: custom-distance-metrics Download link: https://github.com/GeneralReasoning/env-skillsbench/archive/main.zip#custom-distance-metrics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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