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/359369/2978523
m knn.m
function net = knn(nin, nout, k, tr_in, tr_targets)
%KNN Creates a K-nearest-neighbour classifier.
%
% Description
% NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET
% with inp
www.eeworm.com/read/367675/2836565
txt 998.txt
发信人: waden (waden), 信区: DataMining
标 题: Re: 请教有关于k-nearest neighbor的问题???
发信站: 南京大学小百合站 (Wed Sep 18 10:38:27 2002), 站内信件
我的问题是在k-nearest neighbor 中从理论上说是不是当k>1的分类
的效果是不是比k=1的要好,可是我的实验结果刚好相反。这是为
www.eeworm.com/read/177674/9442641
m knn.m
function net = knn(nin, nout, k, tr_in, tr_targets)
%KNN Creates a K-nearest-neighbour classifier.
%
% Description
% NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET
% with input di
www.eeworm.com/read/176823/9483332
m knn.m
function net = knn(nin, nout, k, tr_in, tr_targets)
%KNN Creates a K-nearest-neighbour classifier.
%
% Description
% NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET
% with input di
www.eeworm.com/read/143706/12849956
m knn.m
function net = knn(nin, nout, k, tr_in, tr_targets)
%KNN Creates a K-nearest-neighbour classifier.
%
% Description
% NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET
% with input di
www.eeworm.com/read/318041/13489215
m knn_classify.m
% LogitReg: implementation for k nearest neighbor
%
% Parameters:
% para: parameters
% 1. k: number of neighbor nodes, default: 1
% 2. d: type of distance metrics, 0:L2, 1:L1, 2:chi2, 3:cos,
www.eeworm.com/read/485544/6552783
m knn.m
function net = knn(nin, nout, k, tr_in, tr_targets)
%KNN Creates a K-nearest-neighbour classifier.
%
% Description
% NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET
% with input di
www.eeworm.com/read/253950/12173762
m knn.m
function net = knn(nin, nout, k, tr_in, tr_targets)
%KNN Creates a K-nearest-neighbour classifier.
%
% Description
% NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET
% with input di
www.eeworm.com/read/339665/12211815
m knn.m
function net = knn(nin, nout, k, tr_in, tr_targets)
%KNN Creates a K-nearest-neighbour classifier.
%
% Description
% NET = KNN(NIN, NOUT, K, TR_IN, TR_TARGETS) creates a KNN model NET
% with input di