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/373627/9446122

html knn.html

R: k-Nearest Neighbour Classification
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