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/162511/10300104
c nearest_r16.c
/* Implementation of the NEAREST intrinsic
Copyright 2003 Free Software Foundation, Inc.
Contributed by Richard Henderson .
This file is part of the GNU Fortran 95 runtime libra
www.eeworm.com/read/467873/7003108
m nearest_neighbor1.m
function [y, i, d] = nearest_neighbor1(x, A)
% function [y, i, d] = nearest_neighbor(x, A)
%
% Find the row vector y from a matrix of row vectors A
% that is closest in Euclidean distance to row v
www.eeworm.com/read/467873/7003109
m nearest_neighbor2.m
function [y, i, d] = nearest_neighbor2(x, A)
% function [y, i, d] = nearest_neighbor(x, A)
%
% Find the row vector y from a matrix of row vectors A
% that is closest in Euclidean distance to row v
www.eeworm.com/read/466142/7039584
m vgg_nearest_neighbour.m
% VGG_NEAREST_NEIGHBOUR nearest points in Y to those in X by Euclidean (L2) distance
%
% [inds, d2] = vgg_nearest_neighbour(X, Y)
%
% - X: input points (
www.eeworm.com/read/466142/7039593
cxx vgg_nearest_neighbour.cxx
#include "mex.h"
#include
#include
// [ind, d2] = vgg_nearest_neighbour(X, Y)
void mexFunction(int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[])
{
int nx, ny, dim;
www.eeworm.com/read/466142/7039600
mexglx vgg_nearest_neighbour.mexglx
www.eeworm.com/read/397106/8067665
m nearest_neighbor_vc.m
% Learns classifier and classifies test set
% using k-NN rule
% Usage
% [trainError, testError, estTrainLabels, estTestLabels] = ...
% Nearest_Neighbor_VC(trainFeatures, trainLabels,
www.eeworm.com/read/341349/12090091
m find_nearest_neighbours.m
function [nearest_neighbours ratio] = find_nearest_neighbours( database, desc, dist_ratio )
% [nearest_neighbours] = find_nearest_neighbours( database, desc, max_dist )
% Find the indices of the nea
www.eeworm.com/read/222632/14681928
exe k-nearest-neighbor.exe
www.eeworm.com/read/233448/4678726
f90 intrinsic_nearest.f90
!Program to test NEAREST intrinsic function.
program test_nearest
real s, r, x, y, inf, max
integer i, infi, maxi
equivalence (s,i)
equivalence (inf,infi)
equivalence (max,maxi)
r = 2.0