Description:

A MATLAB spectral clustering package to deal with large data sets. Our tool can handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. Spectral clustering algorithm has been shown to be more effective in finding clusters than some traditional algorithms such as kmeans. To perform clustering on large data sets, we implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method.

BibTeX Entry:

Download

URL:

Project Homepage

Supported Operating Systems:

Linux, Windows, Macos

Tags:

Spectral Clustering, Clustering

Archive:

download here

Comments

ma yong (on December 22, 2008, 04:15:51)

this means is very good!

Leave a comment