代码搜索：Nearest
找到约 1,596 项符合「Nearest」的源代码
代码结果 1,596
www.eeworm.com/read/317622/13500812
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/316604/13520389
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/301156/13865478
m looknn.m
function [misclassify, index, nearestIndex] = looknn(sampledata, k, option)
%LOOKNN Leave-one-out error (misclassification count) of KNN
%
% Usage:
% [MISCLASSIFY, INDEX, NEAREST_SAMPLE_INDEX] = L
www.eeworm.com/read/301156/13865480
m looknn_label.m
function [misclassify, computed] = looknn(sampledata, k, option)
%LOOKNN Leave-one-out error (misclassification count) of KNN
%
% Usage:
% [MISCLASSIFY, INDEX, NEAREST_SAMPLE_INDEX] = LOOKNN(SAMPL
www.eeworm.com/read/359185/6352478
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/493206/6398456
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/485544/6552717
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/480200/6668137
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/480200/6668143
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/263889/11337722
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