代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
代码结果 2,639
www.eeworm.com/read/329331/12960276
m classify.m
function class = classify(sample,training,group)
%线性统计聚类
%class = classify(样品集，训练品集，训练品类别集)将各样品分类。
% 样品集为n*p矩阵，训练品集为m*p矩阵，
% 类别集为m维列向量，表示各训练品归类。
% class为n维列向量，返回各样品分类。
%
www.eeworm.com/read/141504/13008096
c classify.c
/*************************************************************************/
/* */
/* Determine the class of a case description from a de
www.eeworm.com/read/328078/13047154
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/328078/13047172
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/328078/13047188
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/328078/13047204
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
www.eeworm.com/read/328078/13047220
m classify.m
function [c, post] = classify(f, X, method, ndims)
%LDA/CLASSIFY Categorise new data with linear discriminants.
% [C, POST] = CLASSIFY(F, X) classifies the rows of the n by p
% feature matrix X gi
www.eeworm.com/read/140444/13080045
c classify.c
/*************************************************************************/
/* */
/* Determine the class of a case description from a de
www.eeworm.com/read/139952/13119420
o classify.o
www.eeworm.com/read/139952/13119422
c classify.c
/*************************************************************************/
/* */
/* Determine the class of a case description from a