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/273525/4204339
ihlp f_round.ihlp
{* 30nov2004}{...}
{phang}
{cmd:round(}{it:x}{cmd:)} returns {it:x} rounded to the nearest
whole number. {cmd:round(}{it:x}{cmd:)} = {cmd:round(}{it:x}{cmd:,1)}.
{cmd:round(}{it:x}{cmd:)} retur
www.eeworm.com/read/396844/2407834
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/393688/2472958
f90 cldinti.f90
#include
#include
subroutine cldinti ()
use precision
use pmgrid, only: plev, plevp, masterproc
use cldconst
#include
!
! Find vertical level nearest 700 mb
www.eeworm.com/read/386597/2570194
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/367182/2851231
c s_rintf.c
/* Round a 32-bit floating point value to the nearest integer.
Copyright (C) 1997, 2000 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free softw
www.eeworm.com/read/367182/2851237
c s_rint.c
/* Round a 64-bit floating point value to the nearest integer.
Copyright (C) 1997, 2000 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GNU C Library is free softw
www.eeworm.com/read/359369/2978471
m knnfwd.m
function [y, l] = knnfwd(net, x)
%KNNFWD Forward propagation through a K-nearest-neighbour classifier.
%
% Description
% [Y, L] = KNNFWD(NET, X) takes a matrix X of input vectors (one vector
% p
www.eeworm.com/read/474600/6813524
m store_grabbag.m
function test_targets = Store_Grabbag(train_patterns, train_targets, test_patterns, Knn)
% Classify using the store-grabbag algorithm (an improvement on the nearest neighbor)
% Inputs:
% train_p
www.eeworm.com/read/294611/8216787
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/367875/9725038
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)