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High Dimensional Data Clustering with Gaussian Mixtures 1.1
by cbouveyron - January 14, 2008, 08:53:10 CET [
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- Description:
The High-Dimensional Data Clustering (HDDC) toolbox contains an efficient unsupervised classifier for high-dimensional data. This classifier is based on a mixture of Gaussian models adapted for high-dimensional data.
- Changes to previous version:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- Corresponding Paper BibTeX Entry: Download
- Supported Operating Systems: Linux
- Data Formats: None
- Tags: Clustering, High Dimensional Data, Relevant Dimension Determination
- Archive: download here
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Project details for High Dimensional Data Clustering with Gaussian Mixtures
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Details
- Version:
- 1.1
- Submitter:
- cbouveyron
- Author(s):
- Charles Bouveyron
- Posted:
- 3 December 2007
- Last Updated:
- 14 January 2008
- Open Source License:
- gpl version 2, gpl version 2 or later
- Programming Language(s):
- matlab