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A LIBrary of graph CLUSTering algorithms for the purpose of Entity Resolution (a.k.a. record linkage or duplicate detection).

License: GNU General Public License v3.0

Python 1.99% R 97.69% Rebol 0.31%

libcluster's Introduction

libclustER

A LIBrary of graph CLUSTering algorithms for the purpose of Entity Resolution (a.k.a. record linkage or duplicate detection).

Usage and Setup:

(1) Pull version from repo.

(2) Open up R shell.

(3) Change working directory to "trunk/src" directory.

(4) Run the following in R:

source("libcluster.R");

(5) Explore or see the wiki (https://github.com/hussaibi/libclustER/wiki) for more specific information about the library

Suggestion:

Familiarize yourself with igraph library before using libclustER.

Note:

All clustering functions are meant to take in an igraph object as input. They are suffixed with .cluster or .clustering. All clustering functions return clusterings as a list of vectors.

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