代码搜索：Multivariate Analysis
找到约 10,000 项符合「Multivariate Analysis」的源代码
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www.eeworm.com/read/493499/6394527
cpp dvbo.cpp
//===========================================================
// DVB object (C++)
// Handles all DVB stream analysis, in particular PSI data
// Code is independent of encryption scheme used
// (c) Aug
www.eeworm.com/read/488978/6480904
c states.c
/************************************************************
* HMMER - Biological sequence analysis with profile-HMMs
* Copyright (C) 1992-1997 Sean R. Eddy
*
* This source code is distributed
www.eeworm.com/read/482389/6623990
c lex.c
/******************************************************************************
lex.c - lexical analysis
notes:
lex_ch points to next unread input
tokens: letter [alnum|'_']*, special, punct+,
www.eeworm.com/read/478412/6717293
m narcwiz.m
function Results = NarcWiz
% NarcWiz - Narcissus analysis wizard
%
% Usage : NarcOut = NarcWiz % NarcOut is case sensitive
% report narcissus
%
% Takes the user through a narcissus
www.eeworm.com/read/343762/11928506
txt readme.txt
TSA (Time Series Analysis) Toolbox 3.40
=======================================
The TSA toolbox is useful for analysing Time Series.
The methods are based on stochastic concepts and
maximum entropy
www.eeworm.com/read/256506/11993853
txt readme.txt
INTRODUCTION
This package implements basic Principal Component Analysis in Matlab and
tests is with grayscale portion of the FERET database. Images are not
preprocessed and it is up to the user t
www.eeworm.com/read/254415/12139125
res mesol.res
*******MAXIMUM ENTROPY SPECTRUM ANALYSIS*******
L T SE
-----------------------
1 44.00 0.1918942E+04
2 22.00 0.2715711E+04
www.eeworm.com/read/132357/14096757
m runica.m
% runica() - Perform Independent Component Analysis (ICA) decomposition
% of input data using the logistic infomax ICA algorithm of
% Bell & Sejnowski (1995) with the natural gr
www.eeworm.com/read/131022/14163211
m runica.m
% runica() - Perform Independent Component Analysis (ICA) decomposition
% of input data using the logistic infomax ICA algorithm of
% Bell & Sejnowski (1995) with the natural gr
www.eeworm.com/read/227522/14421542
txt readme.txt
TSA (Time Series Analysis) Toolbox 3.40
=======================================
The TSA toolbox is useful for analysing Time Series.
The methods are based on stochastic concepts and
maximum entropy