代码搜索：Variance
找到约 2,271 项符合「Variance」的源代码
代码结果 2,271
www.eeworm.com/read/418695/10935235
m scalem.m
%SCALEM Compute scaling map
%
% W = scalem(A)
%
% W is a map that shifts the origin to the mean of the dataset A.
%
% W = scalem(A,'variance')
%
% The origin is shifted to the mean of A and the
www.eeworm.com/read/418695/10935607
m klm.m
%KLM Karhunen-Loeve Mapping (PCA of mean covariance matrix)
%
% [W,alf] = klm(A,n)
% [W,n] = klm(A,alf)
%
% The Karhunen-Loeve Mapping performs a principal component analysis
% (PCA) on the mean cl
www.eeworm.com/read/417058/11005262
mdl koe_channel_awgn.mdl
Model {
Name "koe_channel_awgn"
Version 3.00
SimParamPage "Solver"
SampleTimeColors off
InvariantConstants off
WideVectorLines off
ShowLineWidths off
ShowPortDataType
www.eeworm.com/read/299984/7139986
m pcaklm.m
%PCAKLM Principal Component Analysis/Karhunen-Loeve Mapping
% (PCA or MCA of overall/mean covariance matrix)
%
% [W,FRAC] = PCAKLM(TYPE,A,N)
% [W,N] = PCAKLM(TYPE,A,FRAC)
%
% INPUT
% A
www.eeworm.com/read/299984/7140706
m klm.m
%KLM Karhunen-Loeve Mapping (PCA or MCA of mean covariance matrix)
%
% [W,FRAC] = KLM(A,N)
% [W,N] = KLM(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Number of dimensions (>= 1) or fr
www.eeworm.com/read/463435/7181021
c vartab.c
/*----------------------------------------------------------------------
File : vartab.c
Contents: variation table management
Author : Christian Borgelt
History : 14.09.2000 file created
www.eeworm.com/read/461294/7229600
c report.c
/*
* GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette
* This program may be freely copied for educational
* and research purposes. All other rights reserved.
*
* file: report
www.eeworm.com/read/460435/7250461
m pcaklm.m
%PCAKLM Principal Component Analysis/Karhunen-Loeve Mapping
% (PCA or MCA of overall/mean covariance matrix)
%
% [W,FRAC] = PCAKLM(TYPE,A,N)
% [W,N] = PCAKLM(TYPE,A,FRAC)
%
% INPUT
% A
www.eeworm.com/read/460435/7251182
m klm.m
%KLM Karhunen-Loeve Mapping (PCA or MCA of mean covariance matrix)
%
% [W,FRAC] = KLM(A,N)
% [W,N] = KLM(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Number of dimensions (>= 1) or fr
www.eeworm.com/read/457219/7331773
c report.c
/*
* GENESIS Copyright (c) 1986, 1990 by John J. Grefenstette
* This program may be freely copied for educational
* and research purposes. All other rights reserved.
*
* file: report