# genpark-minhash-lsh-document-deduplicator-skill

> genpark-minhash-lsh-document-deduplicator-skill — alphaparkinc-genpark-minhash-lsh-document-deduplicator-skill. Use this tool when you need to identify and remove duplicate or near-duplicate documents from a large corpus, leveraging MinHash and Locality-Sensitive Hashing (LSH) for efficient clustering and Jaccard similarity estimation. It solves problems of data redundancy and improves information retrieval by grouping similar documents together. Ideal for use cases involving large-scale document processing, data cleaning, and text analysis, where input is a collection of documents and output is a set of clustered near-duplicates.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-minhash-lsh-document-deduplicator-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-minhash-lsh-document-deduplicator-skill

## Description

MinHash and Locality-Sensitive Hashing (LSH) near-duplicate document clustering and Jaccard similarity estimation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-minhash-lsh-document-deduplicator-skill)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alphaparkinc-genpark-minhash-lsh-document-deduplicator-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-minhash-lsh-document-deduplicator-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-minhash-lsh-document-deduplicator-skill/pull`

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