contents.m

来自「Implementation to linear, quadratic and 」· M 代码 · 共 47 行

% Discriminant analysis toolbox.
% Version 0.3 99/04/30
% Copyright (C) 1999 Michael Kiefte.
% See the accompanying README file for information.
%
% Discriminant Analysis.
%   lda      - Linear discriminant analysis
%   logda    - Logistic discriminant analysis
%   qda      - Quadratic discriminant analysis
%
% Feed-forward Neural Network.
%   softmax  - Multinomial feed-forward neural network
%
% Classification.
%   classify - Classify new observations
%   crossval - Cross-validation classification
%
% Performance Assessment.
%   confmat  - Confusion matrix
%   mcnemar  - McNemar tests for comparison of classifiers
%
% Plotting Functions.
%   plotcov  - Plot covariance matrices of 2 feature LDA or QDA objects
%   plotdr   - Plot decision regions for 2 feature classifier
%
% Helper Functions.
%   classifier - Parent class to all classifier objects
%   parseopt   - Chreck structure for options and return field values
%
% Other Functions.
%   cov         - Within groups covariance matrices
%   mahalanobis - Mahalanobis distance
%   shrink      - Shrink covariance matrices of LDA or QDA object