代码搜索：Distance
找到约 8,736 项符合「Distance」的源代码
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www.eeworm.com/read/186413/8934169
m cluster_test1.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/284410/8935496
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/282275/9106792
pas x3daudio.pas
{******************************************************************************}
{* *}
{* Copyright (C) Microsoft Corporat
www.eeworm.com/read/282259/9107985
h inftrees.h
/* inftrees.h -- header to use inftrees.c
* Copyright (C) 1995-2005 Mark Adler
* For conditions of distribution and use, see copyright notice in zlib.h
*/
/* WARNING: this file should *not* be use
www.eeworm.com/read/282259/9108005
h deflate.h
/* deflate.h -- internal compression state
* Copyright (C) 1995-2004 Jean-loup Gailly
* For conditions of distribution and use, see copyright notice in zlib.h
*/
/* WARNING: this file should *not*
www.eeworm.com/read/182737/9193457
py distances.py
######################################################################
#### ####
#### distances.py
www.eeworm.com/read/379363/9199721
h roadmapvertex.h
/* \file RoadmapVertex.h Contains the class RoadmapVertex, as well as the class SweeplineComparator. */
#ifndef __ROADMAP_VERTEX_H__
#define __ROADMAP_VERTEX_H__
#define LEFT 0
#define RIGHT 1
www.eeworm.com/read/180305/9313002
m ecocfwd.m
function [Y, Y1, Y2] = ecocfwd(net, X)
% ECOCFWD - Forward propagation for a set of learners with ECOC
%
% Y = ECOCFWD(NET, X)
% Given an error correcting output code wrapper NET, the class
% p
www.eeworm.com/read/178917/9382300
m ecocfwd.m
function [Y, Y1, Y2] = ecocfwd(net, X)
% ECOCFWD - Forward propagation for a set of learners with ECOC
%
% Y = ECOCFWD(NET, X)
% Given an error correcting output code wrapper NET, the class
% p
www.eeworm.com/read/177674/9442460
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