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/357874/10199051
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/349842/10796638
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
www.eeworm.com/read/399996/7816588
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/198970/7900216
m entropygraddist.m
function Dvect=entropyGradDist(npd)
%
% Compute entropy estimate using nearest neighbor estimate
%
% Copyright (C) 2003 Alexander Ihler; distributable under GPL -- see README.txt
pts = getPoi
www.eeworm.com/read/198970/7900226
m entropydist.m
function h=entropyDist(npd)
%
% Compute entropy estimate using nearest neighbor estimate
%
% Copyright (C) 2003 Alexander Ihler; distributable under GPL -- see README.txt
Ce = .57721566490153
www.eeworm.com/read/397758/8024409
m hlle.m
function [Y, mse] = HLLE(X,k,d)
%HLLE Runs the standard Hessian LLE implementation of Hessian Eigenmaps
%
% X is the high-dimensional data to be processed
% k is the number of nearest nei
www.eeworm.com/read/397099/8068735
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/245941/12770742
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/143706/12849758
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/330850/12864710
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_