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discrim

version 1.0.0.0 (50.5 KB) by Michael Kiefte
This is version 0.3 of the Discriminant Analysis Toolbox with major bug fixes.

2 Downloads

Updated 11 Jun 1999

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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.

Cite As

Michael Kiefte (2020). discrim (https://www.mathworks.com/matlabcentral/fileexchange/189-discrim), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (18)

mohammad sangsaz

Xiaoying Tang

Why I can't download these files?

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

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 .

Bhushan Thekedar

sophie sue higgs

i need to know more !

Tim Yee

needs more documentation

Yaju Fan

sherly novita

good

Neos Neo

normal

Matthieu Bosiger

really helpfull!

Kris De Gussem

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

asahraf fad

Antonio Ferreira

fatemeh emdad

very good

ganael bascoul

Carl Nelson

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

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.

MATLAB Release Compatibility
Created with R10
Compatible with any release
Platform Compatibility
Windows macOS Linux
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