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.
Michael Kiefte (2020). discrim (https://www.mathworks.com/matlabcentral/fileexchange/189-discrim), MATLAB Central File Exchange. Retrieved .
Why I can't download these files?
>In the file @lda/classify.m in row 49 there is the command:
>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
In the file @lda/classify.m in row 49 there is the command:
I don't see what this line is for, it seems that it doesn't do anything .
i need to know more !
needs more documentation
Good built quality. The toolbox does exactly what you can expect.
This is a thorough and well-designed implementation of the procedures in Ripley's "Pattern Recognition and Neural Networks."
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.
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