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/38039/1096799
mnu midplane.mnu
MIDDLE#PLANE
#
Plane
Select plane surface or datum plane
#
Average#Plane
Use planar surface nearest to the original loop contour
#
www.eeworm.com/read/429426/1948876
py findnearest.py
# Description: Shows how to find the nearest neighbours of the given example
# Category: basic classes, distances
# Classes: FindNearest, FindNearestConstructor, FindNearest_BruteForce, FindN
www.eeworm.com/read/405754/2285196
c nearnbor.c
/*
# proc: nearest_nbor - returns the location of the point from a list of points
# proc: that is closest to another specified point and returns
# proc: the closest dista
www.eeworm.com/read/389962/8490882
m nn_core.m
%{
DESCRIPTION:
Core function for nn.m
INPUT:
x - Series to be modelled
m - Embedding dimension (size of the histories)
k - The number of nearest neigbours to be us
www.eeworm.com/read/281020/10272160
m nn_core.m
%{
DESCRIPTION:
Core function for nn.m
INPUT:
x - Series to be modelled
m - Embedding dimension (size of the histories)
k - The number of nearest neigbours to be us
www.eeworm.com/read/161461/10407137
java knnpartialdistance.java
/** K-nearest neighbor with partial distance
* This works by omitting certain specified attributes in each
* distance calculation. If the distance is greater than the distance
* of the greatest
www.eeworm.com/read/455967/7360555
m knnclassification.m
function result = knnclassification(testsamplesX,samplesX, samplesY, Knn,type)
% Classify using the Nearest neighbor algorithm
% Inputs:
% samplesX - Train samples
% samplesY - Train labe
www.eeworm.com/read/450639/7479466
h round.h
/* This routine takes in a floating point number and rounds it to */
/* the nearest integer. */
#ifdef ROUNDFUNC
static int round(float afloat)
{
int rounded_int;
/* this will
www.eeworm.com/read/442927/7641757
m knnr.m
function [computedOutput, combinedComputedOutput, nearestIndex, knnrMat] = knnr(DS, TS, k)
% knnr: K-nearest neighbor rule for classification
% Usage:
% [computedOutput, combinedComputedOutput, nea
www.eeworm.com/read/286592/6282701
m knnclassification.m
function result = knnclassification(testsamplesX,samplesX, samplesY, Knn,type)
% Classify using the Nearest neighbor algorithm
% Inputs:
% samplesX - Train samples
% samplesY - Train labe