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.

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download

Supported Operating Systems: Linux, Windows, Macos

Data Formats: None

Tags: Spectral Clustering, Clustering

Archive: download here

Comments

vbao (on May 10, 2009, 08:50:58)

Shafa!Hoho! i am a student from China, very lucky to use the master you two shared.

tiaoyao ab (on May 20, 2010, 02:49:33)

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