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/245941/12770752
m nearest_neighbor.m
function test_targets = Nearest_Neighbor(train_patterns, train_targets, test_patterns, Knn)
% Classify using the Nearest neighbor algorithm
% Inputs:
% train_patterns - Train patterns
% train_t
www.eeworm.com/read/330850/12864722
m nearest_neighbor.m
function test_targets = Nearest_Neighbor(train_patterns, train_targets, test_patterns, Knn)
% Classify using the Nearest neighbor algorithm
% Inputs:
% train_patterns - Train patterns
% train_t
www.eeworm.com/read/329073/12984253
c false_nearest.c
/*Author: Rainer Hegger. Last modified: Sep 3, 1999 */
#include
#include
#include
#include
#include
#include "routines/tsa.h"
#define WID_STR "Dete
www.eeworm.com/read/329073/12984941
html false_nearest.html
false_nearest
Description of the program: false_nearest
This program looks f
www.eeworm.com/read/317622/13500815
m nearest_neighbor.m
function test_targets = Nearest_Neighbor(train_patterns, train_targets, test_patterns, Knn)
% Classify using the Nearest neighbor algorithm
% Inputs:
% train_patterns - Train patterns
% train_t
www.eeworm.com/read/316604/13520392
m nearest_neighbor.m
function D = Nearest_Neighbor(train_features, train_targets, Knn, region)
% Classify using the Nearest neighbor algorithm
% Inputs:
% features - Train features
% targets - Train targets
% Knn
www.eeworm.com/read/307450/13722142
m nearest_point.m
%skyhawk#flyinghawk
%计算最后一个相点的最近相点的位置及最短距离
function [idx,min_d,idx1,min_d1]=nearest_point(tau,m,whlsj,whlsl,P)
%参数说明：
%输入：m - 嵌入维数， whlsj － 待分析数据， whlsl - 待分析的数据个数， P - 平均循环周期
% idx - 最后一个相点
www.eeworm.com/read/139332/5799669
xpm nearest_vertex.xpm
/* XPM */
extern const char * nearest_vertex_xpm[];
/* XPM */
extern const char * nearest_vertex_small_xpm[];
www.eeworm.com/read/359185/6352481
m nearest_neighbor.m
function D = Nearest_Neighbor(train_features, train_targets, Knn, region)
% Classify using the Nearest neighbor algorithm
% Inputs:
% features - Train features
% targets - Train targets
% Knn
www.eeworm.com/read/493206/6398459
m nearest_neighbor.m
function D = Nearest_Neighbor(train_features, train_targets, Knn, region)
% Classify using the Nearest neighbor algorithm
% Inputs:
% features - Train features
% targets - Train targets
% Knn