代码搜索:Classify

找到约 2,639 项符合「Classify」的源代码

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www.eeworm.com/read/493388/6402136

m classify.m

function results = classify(data, net, labels, debug); % CLASSIFY Classifies the given data using the given trained SFAM. % RESULTS = CLASSIFY(DATA, NET, LABELS, DEBUG) % DATA is an M-by-D matrix whe
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c classify.c

www.eeworm.com/read/489440/6471413

c classify.c

#include #include #include struct SUBLINK { int index; struct SUBLINK *next; }sublink; struct NODE { char feature[20]; int upnnum
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c classify.c

#include #include #include struct SUBLINK { int index; struct SUBLINK *next; }sublink; struct NODE { char feature[20]; int upnnum
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cpp classify.cpp

#include "clust_defs.h" #include "alloc_util.h" #include "clust_io.h" #include "classify_util.h" int Classify(int argc, char *argv[]) { FILE *fp; int i,j; struct SigSet S; char *pa
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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
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c classify.c

#include "bsvm.h" #include "bsvm_util.h" #include /* max vector length in test dataset */ #define MAXINDEX 1000 int Nsv; sample_t *SV; /* ax_i = a_i*x_i */ double *ax; kernel_param_t kerne
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c classify.c

/*************************************************************************/ /* */ /* Determine the class of a case description from a de
www.eeworm.com/read/263879/11338079

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。 %
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c classify.c

/*************************************************************************/ /* */ /* Determine the class of a case description from a de