代码搜索：Classify
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www.eeworm.com/read/455708/7368057
opt classify.opt
www.eeworm.com/read/455344/7373027
m classify.m
% The algorithms implemented by Alexander Vezhnevets aka Vezhnick
% href="mailto:vezhnick@gmail.com">vezhnick@gmail.com
%
% Copyright (C) 2005, Vezhnevets Alexander
% vezhnick@gmail
www.eeworm.com/read/454193/7397148
m classify.m
% The algorithms implemented by Alexander Vezhnevets aka Vezhnick
% href="mailto:vezhnick@gmail.com">vezhnick@gmail.com
%
% Copyright (C) 2005, Vezhnevets Alexander
% vezhnick@gmail
www.eeworm.com/read/449276/7515352
c classify.c
www.eeworm.com/read/443518/7631582
c classify.c
/*************************************************************************/
/* */
/* Determine the class of a case description from a de
www.eeworm.com/read/439468/7708175
m classify.m
function [Y_compute, Y_prob] = Classify(classifier_str, X_train, Y_train, X_test, Y_test, num_class)
global preprocess;
if ((preprocess.FLD > 0) & (size(X_train, 2) > preprocess.FLD)) % FLD redu
www.eeworm.com/read/436945/7758467
m classify.m
function [c, post] = classify(f, X, method)
%QDA/CLASSIFY Categorise new data with quadratic discriminants.
% [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p
% feature matrix X given
www.eeworm.com/read/436945/7758472
m classify.m
function [c, post, y] = classify(f, X, opt)
%SOFTMAX/CLASSIFY Categorise new data with SOFTMAX object.
% [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p
% feature matrix X given the L
www.eeworm.com/read/436945/7758477
m classify.m
function [c, post] = classify(f, X, opt)
%LOGDA/CLASSIFY Categorise new data with logistic discriminants.
% [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p
% feature matrix X given th
www.eeworm.com/read/436945/7758483
m classify.m
function [c, post] = classify(f, X);
%CLASSIFIER/CLASSIFY Categorise new data with CLASSIFIER object.
% [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p
% feature matrix X given the CL