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/493294/6399874
m dknndd.m
%DKNNDD Distance K-Nearest neighbour data description method.
%
% W = DKNNDD(D,FRACREJ,K,METHOD)
%
% Calculates the K-Nearest neighbour data description on distance
% dataset D. Two methods a
www.eeworm.com/read/493294/6399941
m knnc.m
%KNNC K-Nearest Neighbor Classifier
%
% [W,K,E] = KNNC(A,K)
% [W,K,E] = KNNC(A)
%
% INPUT
% A Dataset
% K Number of the nearest neighbors (optional; default: K is
% optimized with resp
www.eeworm.com/read/492400/6422194
m dnndd.m
%DNNDD Distance nearest neighbour data description method.
%
% W = dnndd(D,fracrej)
%
% Calculates the Nearest neighbour data description on distance data.
% Training only consists of the comp
www.eeworm.com/read/492400/6422198
m dknndd.m
%DKNNDD Distance K-Nearest neighbour data description method.
%
% W = DKNNDD(D,FRACREJ,K,METHOD)
%
% Calculates the K-Nearest neighbour data description on distance
% dataset D. Two methods a
www.eeworm.com/read/480200/6668081
m knn.m
function [neighbors, distance] = knn(kde,points,k)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% [neighbors, distance] = knn(kde,points,k)
%
% Find the
www.eeworm.com/read/400576/11573446
m dnndd.m
%DNNDD Distance nearest neighbour data description method.
%
% W = dnndd(D,fracrej)
%
% Calculates the Nearest neighbour data description on distance data.
% Training only consists of the comp
www.eeworm.com/read/400576/11573450
m dknndd.m
%DKNNDD Distance K-Nearest neighbour data description method.
%
% W = DKNNDD(D,FRACREJ,K,METHOD)
%
% Calculates the K-Nearest neighbour data description on distance
% dataset D. Two methods a
www.eeworm.com/read/345494/11812658
m ex1602.m
%例16-2 其他几种方法对sin函数进行插值
x = 0:10;
y = sin(x);
xi = 0:.25:10;
yi=sin(xi);
y1=interp1(x,y,xi,'nearest');
y2=interp1(x,y,xi,'spline');
y3=interp1(x,y,xi,'cubic');
grid on
plot(x,y,'o',xi,yi,xi,y
www.eeworm.com/read/256798/11971862
m knnc.m
%KNNC K-Nearest Neighbor Classifier
%
% [W,K,E] = KNNC(A,K)
% [W,K,E] = KNNC(A)
%
% INPUT
% A Dataset
% K Number of the nearest neighbors (optional; default: K is
% optimized with resp
www.eeworm.com/read/255755/12057304
m knnc.m
%KNNC K-Nearest Neighbor Classifier
%
% [W,K,E] = KNNC(A,K)
% [W,K,E] = KNNC(A)
%
% INPUT
% A Dataset
% K Number of the nearest neighbors (optional; default: K is
% optimized with resp