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/302503/13833615
pdf classify.pdf
www.eeworm.com/read/301811/13848121
asv classify.asv
function [balpha,xalpha,yalpha] = classify(x1,x2,w,bw);
[n1,d1]=size(x1);
[n2,d2]=size(x2);
kw=w(2)/w(1);
cita=atan(kw);
if w(1)
www.eeworm.com/read/301811/13848124
m classify.m
function [balpha,xalpha,yalpha] = classify(x1,x2,w,bw);
[n1,d1]=size(x1);
[n2,d2]=size(x2);
kw=w(2)/w(1);
cita=atan(kw);
if w(1)
www.eeworm.com/read/301115/13865843
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
www.eeworm.com/read/147529/5728591
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/147529/5728801
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/128026/5993044
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/107846/6188213
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/107543/6188983
c classify.c
/*************************************************************************/
/* */
/* Determine the class of a case description from a de
www.eeworm.com/read/145285/6350559
c classify.c
#include
#include
#include
struct SUBLINK
{
int index;
struct SUBLINK *next;
}sublink;
struct NODE
{
char feature[20];
int upnnum