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/436945/7758493
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/398856/7915030
c classify.c
#include
#include
#include
struct SUBLINK
{
int index;
struct SUBLINK *next;
}sublink;
struct NODE
{
char feature[20];
int upnnum
www.eeworm.com/read/197958/7960464
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/196814/8058524
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/295769/8141809
c classify.c
#include
#include
#include
struct SUBLINK
{
int index;
struct SUBLINK *next;
}sublink;
struct NODE
{
char feature[20];
int upnnum
www.eeworm.com/read/144411/12796386
c classify.c
www.eeworm.com/read/143954/12827651
h classify.h
extern int writeResult(FILE *out);
extern int classifyLinear(FILE *out);
extern int classifyPoly(FILE *out);
extern int classifyRbf(FILE *out);
www.eeworm.com/read/143954/12827675
cpp classify.cpp
#include
#include
#include
#include
#include
#include "classify.h"
#include "initialize.h"
static double dotProduct(FeaturePtr *x,int sizeX
www.eeworm.com/read/244945/12829384
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/143706/12850106
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