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/344585/3207739
m knnfwd.m
function [y, l] = knnfwd(net, x)
%KNNFWD Forward propagation through a K-nearest-neighbour classifier.
%
% Description
% [Y, L] = KNNFWD(NET, X) takes a matrix X of input vectors (one vector
% per ro
www.eeworm.com/read/396844/2406672
m knnfwd.m
function [y, l] = knnfwd(net, x)
%KNNFWD Forward propagation through a K-nearest-neighbour classifier.
%
% Description
% [Y, L] = KNNFWD(NET, X) takes a matrix X of input vectors (one vector
% per ro
www.eeworm.com/read/160391/5571228
m mk_chmm.m
function bnet = mk_chmm(N, Q, Y, discrete_obs, coupled, CPD)
% MK_CHMM Make a coupled Hidden Markov Model
%
% There are N hidden nodes, each connected to itself and its two nearest neighbors in the
www.eeworm.com/read/367675/2836479
txt 963.txt
发信人: waden (waden), 信区: DataMining
标 题: 请教有关于k-nearest neighbor的问题???
发信站: 南京大学小百合站 (Mon Sep 16 22:44:39 2002), 站内信件
小弟做了个k-nearest neighbor的分类器,用的数据集是kddcup99。可是我的正确率
只有79%(k=1),当k>1时,比79%要低。这
www.eeworm.com/read/367675/2837143
txt 976.txt
发信人: strawman (独上江楼思渺然), 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 (Tue Sep 17 15:57:09 2002), 站内信件
人家做出来的结果是什么?你具体是怎么做的?
【 在 waden (waden) 的大作中提到: 】
: 小弟做了个k-nearest
www.eeworm.com/read/428849/8834997
m~ gnpp.m~
function [x,fval,stat] = gnpp(H,f,y,options)
% GNPP Solves Generalized Nearest Point (GNPP) problem.
%
% Synopsis:
% [x,fval,stat] = gnpp(H,f)
% [x,fval,stat] = gnpp(H,f,options)
%
% Description:
%
www.eeworm.com/read/375764/9350105
h kdtree.h
/**@file
Functions and structures for maintaining a k-d tree database of image
features.
For more information, refer to:
Beis, J. S. and Lowe, D. G. Shape indexing using approximate
nearest-neighbo
www.eeworm.com/read/375764/9350138
c kdtree.c
/*
Functions and structures for maintaining a k-d tree database of image
features.
For more information, refer to:
Beis, J. S. and Lowe, D. G. Shape indexing using approximate
nearest-neighbor sear
www.eeworm.com/read/362246/10010511
m~ gnpp.m~
function [x,fval,stat] = gnpp(H,f,y,options)
% GNPP Solves Generalized Nearest Point (GNPP) problem.
%
% Synopsis:
% [x,fval,stat] = gnpp(H,f)
% [x,fval,stat] = gnpp(H,f,options)
%
% Description:
%
www.eeworm.com/read/362246/10010546
m gnpp.m
function [x,fval,stat] = gnpp(H,f,y,options)
% GNPP Solves Generalized Nearest Point (GNPP) problem.
%
% Synopsis:
% [x,fval,stat] = gnpp(H,f)
% [x,fval,stat] = gnpp(H,f,options)
%
% Description:
%