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/367182/2853745
s s_lrintf.s
/* Round argument to nearest integral value according to current rounding
direction.
Copyright (C) 1997, 2005 Free Software Foundation, Inc.
This file is part of the GNU C Library.
Contrib
www.eeworm.com/read/367182/2854328
s s_llrint.s
/* Round argument to nearest integral value according to current rounding
direction.
Copyright (C) 2002 Free Software Foundation, Inc.
This file is part of the GNU C Library.
Contributed b
www.eeworm.com/read/367182/2854331
s s_llrintf.s
/* Round argument to nearest integral value according to current rounding
direction.
Copyright (C) 2002 Free Software Foundation, Inc.
This file is part of the GNU C Library.
Contributed b
www.eeworm.com/read/367182/2854348
s s_llrintl.s
/* Round argument to nearest integral value according to current rounding
direction.
Copyright (C) 1997, 2002 Free Software Foundation, Inc.
This file is part of the GNU C Library.
The GN
www.eeworm.com/read/195390/8159486
m ceil.m
function [varargout] = ceil(varargin)
%CEIL Round towards plus infinity.
% CEIL(X) rounds the elements of X to the nearest integers
% towards infinity.
%
% See also FLOOR, ROUND, FIX.
www.eeworm.com/read/293183/8310178
m modeseek.m
%MODESEEK Clustering by modeseeking
%
% [labels,J] = modeseek(D,k)
%
% If D is a n*n distance matrix between object then a k-nn
% modeseeking method is used to assign each object to its nearest
%
www.eeworm.com/read/367442/9747784
c knnclass.c
/*---------------------------------------------------------------------------
[tst_labels] = knnclass(tst_data,trn_data,trn_labels, k)
KNNCLASS k-Nearest Neighbours classifier.
Input:
tst_data [dim
www.eeworm.com/read/415311/11077211
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
www.eeworm.com/read/192030/8410857
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/431675/8662308
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