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/287770/8670261
m at.m
function [idx] = at(y,xs)
% [idx] = at(y,xs) Return elements of y nearest to xs
% AT is the inverse of the indexing paren operator. Ie,
%
% xs=y(idx) idx=at(y,xs)
%
% AT can for instance be used
www.eeworm.com/read/428360/8875298
m nearneighbors.m
function k = nearneigh(filename1, filename2, filename3, weight, sigma)
% Nearest is a function that given three images as input, it will blur
% a copy of two of them using a gaussian fu
www.eeworm.com/read/181830/9235748
m round.m
function P = round(P)
% ROUND -- built-in ROUND, extended to matrix polynomials
%
% P = round(P)
%
% Round entries in P.coef to the nearest integer.
% Copyright (c) 2004 by Fritz Kein
www.eeworm.com/read/418695/10935628
m knnm.m
%KNNM Estimate K-Nearest Neighbour densities
%
% W = KNNM(A,KNN)
%
% D = B*W
%
% For each of the classes in the dataset A a NN density
% is estimated. The result is stored as a K*C mapping in W, in wh
www.eeworm.com/read/449504/7502894
m fneighbors2.m
function nnlist = fneighbors2(d, xcoord, ycoord, nnmax, delorder)
%
% fneighbors2(d, xcoord, ycoord, nnmax, delorder)
%
%This function finds the nnmax nearest neighbors to each observation. Users
www.eeworm.com/read/397106/8067778
m store_grabbag.m
function D = Store_Grabbag(train_features, train_targets, Knn, region)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% features - Train features
% t
www.eeworm.com/read/397102/8068542
m knnm.m
%KNNM Estimate K-Nearest Neighbour densities
%
% W = KNNM(A,KNN)
%
% D = B*W
%
% For each of the classes in the dataset A a NN density
% is estimated. The result is stored as a K*C mapping in W, in wh
www.eeworm.com/read/326313/13148622
m round.m
function P = round(P)
% ROUND -- built-in ROUND, extended to matrix polynomials
%
% P = round(P)
%
% Round entries in P.coef to the nearest integer.
% Copyright (c) 2004 by Fritz Kein
www.eeworm.com/read/314681/13561799
m fneighbors2.m
function fneighbors2(d, xcoord, ycoord, nnmax, delorder)
%
% fneighbors2(d, xcoord, ycoord, nnmax, delorder)
%
%This function finds the nnmax nearest neighbors to each observation. Users
%should
www.eeworm.com/read/346459/11743027
m at.m
function [idx] = at(y,xs)
% [idx] = at(y,xs) Return elements of y nearest to xs
% AT is the inverse of the indexing paren operator. Ie,
%
% xs=y(idx) idx=at(y,xs)
%
% AT can for instance be used