vector-cluster

Original：🇺🇸 English

Translated

Cluster vectors by similarity using npx ruvector k-means or density-based methods with labeled group summaries

5installs

Sourceruvnet/ruflo

Added on2026-05-03

NPX Install

npx skill4agent add ruvnet/ruflo vector-cluster

SKILL.md Content

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Vector Cluster

Cluster vectors in a namespace by semantic similarity using

ruvector

.

When to use

Use this skill when you have a collection of embeddings and want to discover natural groupings. Clustering reveals themes, identifies outliers, and helps organize large vector collections.

Steps

Ensure ruvector is available:

bash

npm ls ruvector 2>/dev/null || npm install ruvector

Run clustering:

With known cluster count:

npx ruvector cluster --namespace NAMESPACE --k N

With auto-detection:

npx ruvector cluster --namespace NAMESPACE --density

Review output -- ruvector reports: cluster ID, label, member count, cohesion score, and outliers (for density mode)

Store results:

mcp__claude-flow__memory_store({ key: "clusters-NAMESPACE-TIMESTAMP", value: "CLUSTER_ASSIGNMENTS", namespace: "vector-clusters" })

Interpreting results

High cohesion (>0.85): tight, well-defined cluster
Medium cohesion (0.6-0.85): related but diverse content
Low cohesion (<0.6): loose grouping, try higher k
Outliers: novel or anomalous entries worth investigating

Graph-based clustering (ruvector v2.1+)

ruvector supports Louvain community detection and spectral clustering for graph-structured data: