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/421949/10676360

m~ knnclass.m~

function [class] = knnclass(tst,X,I,K) % [class] = knnclass(tst,X,I,K) % % KNNCLASS is an implementation of K-Nearest Neighbours % classifier. The Euclidean distance is used. % % Input: % tst [DxNt
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www.eeworm.com/read/468922/6981931

m svmclassnpa.m

function [xsup,alpha,b,pos]=svmclassnpa(x,y,C,kernel,kerneloption,verbose); % USAGE % [xsup,alpha,b,pos]=svmclassnpa(x,y,C,kernel,kerneloption,verbose); % % % Main ROUTINE For Nearest P
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www.eeworm.com/read/463572/7178111

m lle.m

% LLE ALGORITHM (using K nearest neighbors) % % [Y] = lle(X,K,dmax) % % X = data as D x N matrix (D = dimensionality, N = #points) % K = number of neighbors % dmax = max embedding dimensionality
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www.eeworm.com/read/461264/7230778

pro gal_flat.pro

FUNCTION GAL_FLAT,IMAGE,ANG,INC,CEN,INTERP = interp ;+ ; NAME: ; GAL_FLAT ; ; PURPOSE: ; Transforms the image of a galaxy so that the galaxy appears face-on ; EXPLANATION: ; Either a nearest-neighbor
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www.eeworm.com/read/458392/7297255

m svmclassnpa.m

function [xsup,alpha,b,pos]=svmclassnpa(x,y,C,kernel,kerneloption,verbose); % USAGE % [xsup,alpha,b,pos]=svmclassnpa(x,y,C,kernel,kerneloption,verbose); % % % Main ROUTINE For Nearest P
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www.eeworm.com/read/441173/7675137

m mssnnr.m

function msnn = mssnnr(ti, xi, T, w); % multi shift slotted nearest neighbor resampling % % ti : irregular input times [s] % xi : irregular input signal % T : regular output resampling time [s]
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www.eeworm.com/read/299459/7850455

m knnclass.m

function y = knnclass(X,model) % KNNCLASS k-Nearest Neighbours classifier. % % Synopsis: % y = knnclass(X,model) % % Description: % The input feature vectors X are classified using the K-NN % rule
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www.eeworm.com/read/398337/7993724

m svmclassnpa.m

function [xsup,alpha,b,pos]=svmclassnpa(x,y,C,kernel,kerneloption,verbose); % USAGE % [xsup,alpha,b,pos]=svmclassnpa(x,y,C,kernel,kerneloption,verbose); % % % Main ROUTINE For Nearest P
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www.eeworm.com/read/312163/13617451

m knnclass.m

function y = knnclass(X,model) % KNNCLASS k-Nearest Neighbours classifier. % % Synopsis: % y = knnclass(X,model) % % Description: % The input feature vectors X are classified using the K-NN % rule
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www.eeworm.com/read/309649/13667351

c dblround.c

/* +++Date last modified: 05-Jul-1997 */ /* ** DBLROUND.C - Rounds a double to the nearest whole number ** public domain by Ross Cottrell */ #include #include #includ
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