代码搜索：Distance
找到约 8,736 项符合「Distance」的源代码
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www.eeworm.com/read/139332/5801110
hpp distance_fwd.hpp
#ifndef BOOST_MPL_DISTANCE_FWD_HPP_INCLUDED
#define BOOST_MPL_DISTANCE_FWD_HPP_INCLUDED
// Copyright Aleksey Gurtovoy 2000-2004
//
// Distributed under the Boost Software License, Version 1.0.
// (
www.eeworm.com/read/476055/6339693
m distance_classify.m
function g=distance_classify(A,b)
%距离判别法程序。
%输入已分类样本A（元胞数组），输入待分类样本b
%输出待分类样本b的类别g
%注：一般还应计算回代误差yita
%输入已知分类样本的总类别数n;每类作为元胞数组的一列
n=size(A,1);
%输入待分类样本b的样本数m和变量数p
[m p]=size(b);
for i=1:n
www.eeworm.com/read/493206/6398525
m edit_distance.m
www.eeworm.com/read/481688/6637092
m get_distance.m
%{
? 求两点空间的距离函数
a) 输入参数：
? Oi点
? Oj点
? 点的空间矩阵Item_Space
b) 输出参数：
? 两点之间的距离
%}
function distance=get_distance(Oi,Oj,item_space)
distance=0.0;
X1=item_space(Oi,:);
X2=item_space(Oj,:);
size
www.eeworm.com/read/481429/6641019
ppt mahanalobis distance.ppt
www.eeworm.com/read/410924/11264915
m edit_distance.m
www.eeworm.com/read/405069/11472221
m edit_distance.m
www.eeworm.com/read/400232/11580285
m crowding_distance.m
function f = crowding_distance(x,problem)
% This function calculates the crowding distance
[N,M] = size(x);
switch problem
case 1
M = 2;
V = 6;
case 2
M = 3;