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Calculate Normalized Information Measures 1.0.0
by openpr_nlpr - December 2, 2011, 04:35:32 CET [
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- Description:
The toolbox is to calculate normalized information measures from a given m by (m+1) confusion matrix for objective evaluations of an abstaining classifier. It includes total 24 normalized information measures based on three groups of definitions, that is, mutual information, information divergence, and cross entropy.
- Changes to previous version:
Initial Announcement on mloss.org.
- BibTeX Entry: Download
- Supported Operating Systems: Linux, Windows
- Data Formats: None
- Tags: Pattern Recognition
- Archive: download here
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Project details for Calculate Normalized Information Measures
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Details
- Version:
- 1.0.0
- Submitter:
- openpr_nlpr
- Author(s):
- Baogang Hu
- Posted:
- 2 December 2011
- Last Updated:
- 2 December 2011
- Open Source License:
- bsd
- Programming Language(s):
- Scilab