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
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m nearestneighborediting.m

function [patterns, targets] = NearestNeighborEditing(train_patterns, train_targets, Nmu, plot_on) %Reduce the number of data points using the nearest neighbor editing algorithm %Inputs: % train_
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www.eeworm.com/read/255925/12046108

m radnearest.m

function lock=radnearest(y,Y,T,r,p) %Syntax: lock=radnearest(y,Y,T,r,p) %__________________________________ % % Locks the nearest neighbors of a reference point that lie within a % radius in a ph
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www.eeworm.com/read/253950/12173537

m demknn1.m

%DEMKNN1 Demonstrate nearest neighbour classifier. % % Description % The problem consists of data in a two-dimensional space. The data is % drawn from three spherical Gaussian distributions with prio
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www.eeworm.com/read/339665/12211505

m demknn1.m

%DEMKNN1 Demonstrate nearest neighbour classifier. % % Description % The problem consists of data in a two-dimensional space. The data is % drawn from three spherical Gaussian distributions with prio
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www.eeworm.com/read/150905/12250444

m demknn1.m

%DEMKNN1 Demonstrate nearest neighbour classifier. % % Description % The problem consists of data in a two-dimensional space. The data is % drawn from three spherical Gaussian distributions with prio
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www.eeworm.com/read/131588/14136152

m nearestneighborediting.m

function D = NearestNeighborEditing(train_features, train_targets, params, region) % Classify points using the nearest neighbor editing algorithm % Inputs: % train_features - Train features % t
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www.eeworm.com/read/130490/14189963

c knn.c

/* Copyright (C) 2001-2002 Mikael Ylikoski * See the accompanying file "README" for the full copyright notice */ /** * @file * K-Nearest-Neighbour algorithm. * FIXME: fungerar inte * * @param
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www.eeworm.com/read/129915/14217597

m nearestneighborediting.m

function D = NearestNeighborEditing(train_features, train_targets, params, region) % Classify points using the nearest neighbor editing algorithm % Inputs: % train_features - Train features % t
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www.eeworm.com/read/220289/14843806

m demknn1.m

%DEMKNN1 Demonstrate nearest neighbour classifier. % % Description % The problem consists of data in a two-dimensional space. The data is % drawn from three spherical Gaussian distributions with prio
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www.eeworm.com/read/116388/14977067

cpp money.cpp

#include #include Money::Money(double val) { // ensure that the value is only 2 decimal places // and rounded up to the nearest penny long int nval = (long)((va
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