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/487231/1239321

pas nearest.pas

const maxn = 60001; maxs = 6; type Node = record pos,x,y:longint; end; TPoint = array[1..maxn] of Node; var Point:TPoint; X:array[1..maxn]
www.eeworm.com/read/487231/1239324

bat nearest.bat

@echo off if "%1"=="" goto loop copy nearest%1.in nearest.in >nul echo Problem Test echo Data %1 time
www.eeworm.com/read/303435/3810979

c nearest.c

/* Copyright (c) Colorado School of Mines, 2006.*/ /* All rights reserved. */ /*********************** self documentation **********************/ /*****************************
www.eeworm.com/read/429426/1948995

cpp nearest.cpp

/* This file is part of Orange. Orange is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Softw
www.eeworm.com/read/429426/1949143

hpp nearest.hpp

/* This file is part of Orange. Orange is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Softw
www.eeworm.com/read/395756/8154992

m nearest.m

function nearest(img,a) A=double(img); B=zeros(a.*size(A)); [br_size,bc_size]=size(B); for i=1:br_size for j=1:bc_size x=round(i/a); y=round(j/a); if x==0
www.eeworm.com/read/292045/8380606

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/191902/8417066

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/433114/8545542

m nearest_intersect.m

function [nearest_b,idx,err]=nearest_intersect(a,b,maxerr) % Analog to Matlab function "intersect" for numeric data; does not require % identity but only "nearness". % % OBSOLETE: Replace by "approx_
www.eeworm.com/read/286662/8751654

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