代码搜索：Nearest
找到约 1,596 项符合「Nearest」的源代码
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www.eeworm.com/read/334125/3373605
pm driver.pm
#
# Module Parse::Yapp::Driver
#
# This module is part of the Parse::Yapp package available on your
# nearest CPAN
#
# Any use of this module in a standalone parser make the included
# text under the
www.eeworm.com/read/429426/1948716
py ensemble3.py
# Description: Bagging and boosting with k-nearest neighbors
# Category: modelling
# Uses: promoters.tab
# Classes: orngTest.crossValidation, orngEnsemble.BaggedLearner, orngEnsemble.
www.eeworm.com/read/405754/2285303
c kd_pnn.c
/*
# proc: pnnsearch - given init "close" vectors "centers" locate the nearest
# proc: neighbors in a tree and classify points using a truncated
# proc: pnn metric.
# proc: lea
www.eeworm.com/read/237664/13939470
m makegi.m
%makeGI(in)
% This function creates a random sequence of a 'in' bits
% (rounded up to the nearest word length [9]) valued at 0
% and 1, which satifies a (0, 4/4) constraint. This is
% an
www.eeworm.com/read/190158/8447098
c round.c
/* This routine takes in a floating point number and rounds it to */
/* the nearest integer. */
int
round(afloat)
float afloat;
{
int rounded_int;
/* this will truncate afloat */
rounded_i
www.eeworm.com/read/426685/9004054
m nearestfeatureplaneclassifier.m
% Nearest Feature Plane Classifier-NFP
function [NFPCrate]=NFPclassifier(features,test_features,trnum,tenum,classnum)
% features the matrix that training samples projected on feature subspac
www.eeworm.com/read/426684/9004063
m nearestfeaturelineclassifier.m
% Nearest Feature Line Classifier-NFL
function [NFLCrate]=NFLclassifier(features,test_features,trnum,tenum,classnum)
% features the matrix that training samples projected on feature subspace
www.eeworm.com/read/426679/9004379
m nfpclassifier.m
% Nearest Feature Plane Classifier-NFP
function [NFPCrate]=NFPclassifier(features,test_features,trnum,tenum,classnum)
% features the matrix that training samples projected on feature subspac
www.eeworm.com/read/426679/9004383
m nflclassifier.m
% Nearest Feature Line Classifier-NFL
function [NFLCrate]=NFLclassifier(features,test_features,trnum,tenum,classnum)
% features the matrix that training samples projected on feature subspace
www.eeworm.com/read/360732/10080577
m nn_prepare.m
%tstoolbox/mex/nn_prepare
% The intention of this mex-file was to reduce the computational
% overhead of preprocessing for nearest neighbor or range searching.
% With nn_prepare it is possible t