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/410924/11264814
m interactive_learning.m
function D = Interactive_Learning(train_features, train_targets, params, region);
% Classify using nearest neighbors and interactive learning
% Inputs:
% features- Train features
% targets - Tr
www.eeworm.com/read/405069/11472190
m interactive_learning.m
function test_targets = Interactive_Learning(train_patterns, train_targets, test_patterns, params)
% Classify using nearest neighbors and interactive learning
% Inputs:
% train_patterns - Train
www.eeworm.com/read/152288/12124315
m 3-37.m
x = 0:10;
% 给出已知基准数据
y = sin(x);
xi = 0:.25:10;
% 在两个基准数据点间插入3个点
yi1 = interp1(x,y,xi,'*nearest');
yi2 = interp1(x,y,xi,'*linear');
yi3 = interp1(x,y,xi,'*spline');
yi4 = interp1(x,y,xi,'*c
www.eeworm.com/read/150760/12265796
m knnrule.m
function model=knnrule(data,K)
% KNNRULE Creates K-nearest neighbours classifier.
%
% Synopsis:
% model=knnrule(data)
% model=knnrule(data,K)
%
% Description:
% It creates model of the K-nearest ne
www.eeworm.com/read/131588/14136210
m interactive_learning.m
function D = Interactive_Learning(train_features, train_targets, params, region);
% Classify using nearest neighbors and interactive learning
% Inputs:
% features- Train features
% targets - Tr
www.eeworm.com/read/129915/14217641
m interactive_learning.m
function D = Interactive_Learning(train_features, train_targets, params, region);
% Classify using nearest neighbors and interactive learning
% Inputs:
% features- Train features
% targets - Tr
www.eeworm.com/read/127767/14337355
txt e675. flipping a buffered image.txt
// To create a buffered image, see e666 Creating a Buffered Image
// Flip the image vertically
AffineTransform tx = AffineTransform.getScaleInstance(1, -1);
tx.translate(0, -image
www.eeworm.com/read/213492/15133680
m knnrule.m
function model=knnrule(data,K)
% KNNRULE Creates K-nearest neighbours classifier.
%
% Synopsis:
% model=knnrule(data)
% model=knnrule(data,K)
%
% Description:
% It creates model of the K-nearest ne
www.eeworm.com/read/474600/6813438
m interactive_learning.m
function test_targets = Interactive_Learning(train_patterns, train_targets, test_patterns, params)
% Classify using nearest neighbors and interactive learning
% Inputs:
% train_patterns - Train
www.eeworm.com/read/367457/9746705
lnt co-arch.lnt
// co-arch.lnt
// Compiler Options for Archimedes C
// This file contains options to allow PC-lint to process source
// files for your compiler. It is used as follows:
//
//