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/440394/7689988
m knndemo.m
clear all
load iris_tra; load iris_tes; % load training and testing file
% feature dimension = 4, target dimension = 3
Pr=iris_tra(:,1:4); Tr=iris_tra(:,5:7);
Pt=iris_tes(:,1:4); Tt=iris_tes(:,5:7
www.eeworm.com/read/436446/7769719
m nn.m
%-------------------------------------------------------
function H = NN (prediction, observations, compatibility)
%-------------------------------------------------------
% University of Zaragoza
www.eeworm.com/read/319404/13452368
m ex1606.m
%例16-6 二维插值方法效果比较
[x,y] = meshgrid(-3:1:3); %产生已知数据栅格点
z = peaks(x,y); %计算已知点上的函数值
surf(x,y,z) %画基于已知数据点的三维表面图，如图16-8
title('graphic based on original data') %对图形加标题
[xi,yi] = meshgrid(-3:0.25:3
www.eeworm.com/read/301156/13865469
m demoknn.m
clear;
ref_vect = [1 2 3 4 5; -1 0 -3 2 5] % reference vectors
ref_label = [1 2 1 2 2] % labels of reference vectors
query = [0 0]' % query point
k = 3 % k-nearest
% return value : class label
www.eeworm.com/read/405927/11455036
m nn.m
%-------------------------------------------------------
function H = NN (prediction, observations, compatibility)
%-------------------------------------------------------
% University of Zaragoza
www.eeworm.com/read/400577/11572659
m knnr.m
%KNNR Nearest neighbor regression
%
% Y = KNNR(X,K)
%
% INPUT
% X Regression dataset
% K number of neighbors (default K=3)
%
% OUTPUT
% Y k-nearest neighbor regression
%
% DESCRIPTIO
www.eeworm.com/read/261321/11654951
m my_interp.m
function [x_v,xx,yy]=my_interp(y_v,x_vect,y_vect,interp_method)
% y_v= 0.1 , 0.01 etc. BLER value
% x_v = Ior/Ioc value (dB) which we wanted
% y_vect= BLER data come from the simulatin result
% x_
www.eeworm.com/read/345494/11812661
m ex1606.m
%例16-6 二维插值方法效果比较
[x,y] = meshgrid(-3:1:3); %产生已知数据栅格点
z = peaks(x,y); %计算已知点上的函数值
surf(x,y,z) %画基于已知数据点的三维表面图，如图16-8
title('graphic based on original data') %对图形加标题
[xi,yi] = meshgrid(-3:0.25:3
www.eeworm.com/read/360995/10069874
m nndist_range.m
%NNDIST_RANGE Give a vector of scales
%
% D = NNDIST_RANGE(X)
% D = NNDIST_RANGE(X,NR)
%
% Give the average nearest neighbor distance in dataset X. When NR is
% specified, the first NR nearest
www.eeworm.com/read/466447/7035079
cpp texture.cpp
/*
* ==============================================================================
* Name : Texture.cpp
* Part of : OpenGLEx / Texture
*
* Copyright (c) 2004-2006 Nokia Corpor