代码搜索：Nearest
找到约 1,596 项符合「Nearest」的源代码
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www.eeworm.com/read/212307/15160113
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
www.eeworm.com/read/344585/3207727
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
www.eeworm.com/read/339800/3295527
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
www.eeworm.com/read/298327/3867103
cpp s_truncf.cpp
/* See the import.pl script for potential modifications */
/* Truncate argument to nearest integral value not larger than the argument.
Copyright (C) 1997, 1998 Free Software Foundation, Inc.
www.eeworm.com/read/298327/3867252
cpp s_trunc.cpp
/* See the import.pl script for potential modifications */
/* Truncate argument to nearest integral value not larger than the argument.
Copyright (C) 1997, 1998 Free Software Foundation, Inc.
www.eeworm.com/read/298327/3867316
cpp s_truncl.cpp
/* See the import.pl script for potential modifications */
/* Truncate argument to nearest integral value not larger than the argument.
Copyright (C) 1997, 1999 Free Software Foundation, Inc.
www.eeworm.com/read/396844/2406659
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
www.eeworm.com/read/386597/2570094
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_
www.eeworm.com/read/474600/6813407
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_