No BSD License  

Highlights from
discrim

4.14286

4.1 | 14 ratings Rate this file 30 Downloads (last 30 days) File Size: 50.5 KB File ID: #189

discrim

by

 

This is version 0.3 of the Discriminant Analysis Toolbox with major bug fixes.

| Watch this File

File Information
Description

This is version 0.3 of the Discriminant Analysis Toolbox with major bug fixes and additional functionality. A new class hierarchy is introduced with a single parent class for all classification objects. In addition to linear, quadratic and logistic discriminant analysis, limited feed-forward neural network classification is also made possible using the SOFTMAX multinomial deviance critereon for error minimisation. Additional functions include k-fold cross-validation, confustion matrices and several plotting functions. Many of these algorithms are described in B. D. Ripley (1996) Pattern Recognition and Neural Networks.

MATLAB release MATLAB 5.2 (R10)
Tags for This File   Please login to tag files.
Please login to add a comment or rating.
Comments and Ratings (17)
25 Dec 2011 Xiaoying Tang

Why I can't download these files?

08 Feb 2010 Felix Franke

>In the file @lda/classify.m in row 49 there is the command:
>classify(f.classifier, X);
>I don't see what this line is for, it seems that it doesn't do anything .

This is just for error checking using the underlying classifier.classify() function.

Nice toolbox by the way! Thanks

19 Jan 2010 dafna hirschfeld

In the file @lda/classify.m in row 49 there is the command:
classify(f.classifier, X);

I don't see what this line is for, it seems that it doesn't do anything .

10 Apr 2008 Bhushan Thekedar  
19 Mar 2008 sophie sue higgs

i need to know more !

15 Mar 2008 Tim Yee

needs more documentation

27 Feb 2008 Yaju Fan  
16 Nov 2007 sherly novita

good

15 Jun 2006 Neos Neo

normal

08 Jun 2006 Matthieu Bosiger

really helpfull!

29 May 2006 Kris De Gussem

Good built quality. The toolbox does exactly what you can expect.

19 Mar 2006 asahraf fad  
05 Dec 2005 Antonio Ferreira  
16 Mar 2005 fatemeh emdad

very good

17 Sep 2004 ganael bascoul  
13 Mar 2003 Carl Nelson

This is a thorough and well-designed implementation of the procedures in Ripley's "Pattern Recognition and Neural Networks."

21 Nov 2002 Wilmer Henao

The graphics are great, it´s quite the best you can get free on the net. There is plenty of tests and the files are easy to understand and change.

Contact us