代码搜索：Distance
找到约 8,736 项符合「Distance」的源代码
代码结果 8,736
www.eeworm.com/read/324193/13279552
c wlan_propdel.ps.c
/* wlan_propdel.ps.c */
/* Modified for IEEE802.11 */
/* Propagation delay model for radio link Transceiver Pipeline */
/*************
www.eeworm.com/read/292349/8360476
h globals.h
/*******************************************
MFTrafficButton
Version: 1.0
Date: 31.10.2001
Author: Michael Fatzi
Mail: Michael_Fatzi@hotmail.com
Copyright 1996-1997, Keith Rule
www.eeworm.com/read/191566/8428195
m dist2.m
function n2 = dist2(x, c)
%DIST2 Calculates squared distance between two sets of points.
%
% Description
% D = DIST2(X, C) takes two matrices of vectors and calculates the
% squared Euclidean distance
www.eeworm.com/read/189343/8474229
h globals.h
/*******************************************
MFTrafficButton
Version: 1.0
Date: 31.10.2001
Author: Michael Fatzi
Mail: Michael_Fatzi@hotmail.com
Copyright 1996-1997, Keith Rule
www.eeworm.com/read/188651/8521461
h deflate.h
/* deflate.h -- internal compression state
* Copyright (C) 1995-2002 Jean-loup Gailly
* For conditions of distribution and use, see copyright notice in zlib.h
*/
/* WARNING: this file should
www.eeworm.com/read/289743/8529980
m sne.m
function Y = sne(X, d)
%SNE Implementation of Stochastic Neighbor Embedding
%
% Y = sne(X, d)
%
% Runs the traditional implementation of Stochastic Neighbor Embedding
% algorithm. The high-di
www.eeworm.com/read/286440/8763845
readme
Instructions for Isomap code, Release 1
---------------------------------------
Author: Josh Tenenbaum (jbt@psych.stanford.edu)
[Dijkstra code by Mark Steyvers (msteyver@psych.stanford.edu)]
www.eeworm.com/read/385659/8793719
m 聚类算法.m
%最短距离法系统聚类分析
% ZSCORE Standardized z score.
% Z = ZSCORE(D) returns the deviation of each column of D from its mean
% normalized by its standard deviation. This is known as the Z score of
www.eeworm.com/read/285285/8856477
java edge.java
class edge{
public int srcVert;
public int destVert;
public int distance;
public edge(int i, int j, int k){
srcVert = i;
destVert = j;
distance = k;
}
}
www.eeworm.com/read/428167/8885978
m dist2.m
function n2 = dist2(x, c)
%DIST2 Calculates squared distance between two sets of points.
%
% Description
% D = DIST2(X, C) takes two matrices of vectors and calculates the
% squared Euclidean dis