代码搜索：Nearest
找到约 1,596 项符合「Nearest」的源代码
代码结果 1,596
www.eeworm.com/read/431696/8661176
cpp texture.cpp
// Texture.cpp: implementation of the Texture class.
//
//////////////////////////////////////////////////////////////////////
#include "stdafx.h"
#include "MissileTest.h"
#include "Texture.h"
www.eeworm.com/read/136929/13354094
cpp texture.cpp
// Texture.cpp: implementation of the Texture class.
//
//////////////////////////////////////////////////////////////////////
#include "stdafx.h"
#include "MissileTest.h"
#include "Texture.h"
www.eeworm.com/read/486374/6540603
cpp texture.cpp
// Texture.cpp: implementation of the Texture class.
//
//////////////////////////////////////////////////////////////////////
#include "stdafx.h"
#include "MissileTest.h"
#include "Texture.h"
www.eeworm.com/read/269175/11107231
cpp texture.cpp
// Texture.cpp: implementation of the Texture class.
//
//////////////////////////////////////////////////////////////////////
#include "stdafx.h"
#include "MissileTest.h"
#include "Texture.h"
www.eeworm.com/read/431675/8661753
m knnc.m
%KNNC K-Nearest Neighbor Classifier
%
% [W,k,e] = knnc(A,k)
%
% Computation of the k-nearest neigbor classifier for the dataset A.
% Default k: optimize leave-one-out error e. W is a mapping and
%
www.eeworm.com/read/418695/10935205
m knnc.m
%KNNC K-Nearest Neighbor Classifier
%
% [W,k,e] = knnc(A,k)
%
% Computation of the k-nearest neigbor classifier for the dataset A.
% Default k: optimize leave-one-out error e. W is a mapping and
%
www.eeworm.com/read/397102/8068003
m knnc.m
%KNNC K-Nearest Neighbor Classifier
%
% [W,k,e] = knnc(A,k)
%
% Computation of the k-nearest neigbor classifier for the dataset A.
% Default k: optimize leave-one-out error e. W is a mapping and
%
www.eeworm.com/read/150221/5694179
m test.m
function test(mode)
% test nearest neighbor search based mex files
% recompile
error_flag = 0;
if nargin < 1
mode = 'all';
end
disp('Fast nearest neighbor search routines test')
load points.dat
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m knnc.m
%KNNC K-Nearest Neighbor Classifier
%
% [W,k,e] = knnc(A,k)
%
% Computation of the k-nearest neigbor classifier for the dataset A.
% Default k: optimize leave-one-out error e. W is a mapping and
%
www.eeworm.com/read/486215/1253085
m test.m
function test(mode)
% test nearest neighbor search based mex files
% recompile
error_flag = 0;
if nargin < 1
mode = 'all';
end
disp('Fast nearest neighbor search routines test')
load points.dat