代码搜索：Nearest

找到约 1,596 项符合「Nearest」的源代码

代码结果 1,596
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/128468/14295332

m knnclass.m

function [class,index,dist] = knnclass(tst,X,I,K) % [class,index,dist] = knnclass(tst,X,I,K) % % KNNCLASS is an implementation of K-Nearest Neighbours % classifier. The Euclidean metric is used. % %
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www.eeworm.com/read/228052/14401780

m odd.m

function y=odd(x); %ODD Round towards nearest odd value. % Y=ODD(X) rounds each element of X towards the nearest odd % integer value. If an element of X is even, ODD adds +1 to % this value. X can b
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www.eeworm.com/read/227614/14419720

m transformimage.m

function [r,g,b] = transformImage(A,Ar,Ac,Nrho,Ntheta,Method,Center,Shape) % Inputs: A the input image % Nrho the desired number of rows of transformed image % Ntheta
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www.eeworm.com/read/226233/14485275

pas teenearesttooleditor.pas

{**********************************************} { TNearestToolEditor } { Copyright (c) 1999-2004 by David Berneda } {**********************************************}
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www.eeworm.com/read/124570/14558990

java relieffattributeeval.java

/* * This program 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 Software Foundation; either vers
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www.eeworm.com/read/123833/14611610

m exp2_16.m

%curve interpolation ys=[0 0.9 0.6 1 0 0.1 -0.3 -0.7 -0.9 -0.2]; %已有的样本点ys xs=0:length(ys)-1; %已有的样本点xs x=0:0.1:length(ys)-1;%新的样本点x y1=interp1(xs,ys,x,'nearest'); %插值产生新的样本点y1 y2=interp1(xs,ys,
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www.eeworm.com/read/122468/14688208

m exp2_16.m

%curve interpolation ys=[0 0.9 0.6 1 0 0.1 -0.3 -0.7 -0.9 -0.2]; %已有的样本点ys xs=0:length(ys)-1; %已有的样本点xs x=0:0.1:length(ys)-1;%新的样本点x y1=interp1(xs,ys,x,'nearest'); %插值产生新的样本点y1 y2=interp1(xs,ys,
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www.eeworm.com/read/220803/14788501

m exp2_16.m

%curve interpolation ys=[0 0.9 0.6 1 0 0.1 -0.3 -0.7 -0.9 -0.2]; %已有的样本点ys xs=0:length(ys)-1; %已有的样本点xs x=0:0.1:length(ys)-1;%新的样本点x y1=interp1(xs,ys,x,'nearest'); %插值产生新的样本点y1 y2=interp1(xs,ys,
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www.eeworm.com/read/119076/14841043

pas teenearesttooleditor.pas

{**********************************************} { TNearestToolEditor } { Copyright (c) 1999-2004 by David Berneda } {**********************************************}
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www.eeworm.com/read/220289/14843820

m knnfwd.m

function [y, l] = knnfwd(net, x) %KNNFWD Forward propagation through a K-nearest-neighbour classifier. % % Description % [Y, L] = KNNFWD(NET, X) takes a matrix X of input vectors (one vector % per ro
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