代码搜索：KNN
找到约 516 项符合「KNN」的源代码
代码结果 516
www.eeworm.com/read/291837/8392610
doc knn.doc
www.eeworm.com/read/289487/8548681
m knn.m
function [ypred,tabkppv,distance]=knn(xapp,yapp,valY,X,k)
%
% knn implementation
%
% USE : [ypred,tabkppv,distance]=knn(xapp,yapp,valY,X,k)
%
% xapp, yapp : learning data
% valY : all the Y value pos
www.eeworm.com/read/288634/8617492
m knn.m
%KNN classifiers,
%training is training set, testing is test set,
%D is the distance, D=1 is mandistance; D=2 is 欧氏距离 D=3是 infinite norm
% K is the number of selected neighbors
function label=K
www.eeworm.com/read/386957/8716475
pdf knn.pdf
www.eeworm.com/read/429981/8775651
asv knn.asv
function [x1]=knn(dn1)%%读取该样本与其他样本的距离
d11=zeros(2,10);
for b=1:10
d11(2,b)=min(dn1(2,:));%%找出最短距离并赋值给d11的第b位的第二列
[xx,yy]=find(dn1==d11(2,b));%%找出最小值在dn1的位置
www.eeworm.com/read/429981/8775662
m knn.m
function [x1]=knn(dn1)%%读取该样本与其他样本的距离
d11=zeros(2,10);
for b=1:10
d11(2,b)=min(dn1(2,:));%%找出最短距离并赋值给d11的第b位的第二列
[xx,yy]=find(dn1==d11(2,b));%%找出最小值在dn1的位置
www.eeworm.com/read/429878/8784188
htm knn.htm
Netlab Reference Manual knn
knn
Purpose
Creates a K-nearest-neighbour classifier.
Synopsis
net = knn(nin, nout
www.eeworm.com/read/384512/8866328
m knn.m
function [C,P]=knn(d, Cp, K)
%KNN K-Nearest Neighbor classifier using an arbitrary distance matrix
%
% [C,P]=knn(d, Cp, [K])
%
% Input and output arguments ([]'s are optional):
% d (matrix)
www.eeworm.com/read/428269/8880493
m knn.m
function [ypred,tabkppv,distance]=knn(xapp,yapp,valY,X,k)
%
% knn implementation
%
% USE : [ypred,tabkppv,distance]=knn(xapp,yapp,valY,X,k)
%
% xapp, yapp : learning data
% valY : all the Y value pos