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/101135/6238349
1 postmort.1
.TH POSTMORT 1
.SH NAME
postmort \- perform post-mortem on PC Minix core files
.SH SYNOPSIS
\fBpostmort\fR [\fB\-dpt\fR] \fB\-c \fIcorefile \fB\-s \fIsymbfile\fR
.br
.de FL
.TP
\\fB\\$1\\fR
\\$2
..
.d
www.eeworm.com/read/493294/6399879
m pca.m
%PCA Principal component analysis (PCA or MCA on overall covariance matrix)
%
% [W,FRAC] = PCA(A,N)
% [W,N] = PCA(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Number of dimensions
www.eeworm.com/read/483253/6601793
m lpcauto.m
function [ar,e,k]=lpcauto(s,p,t)
%LPCAUTO performs autocorrelation LPC analysis [AR,E,K]=(S,P,T)
% Inputs:
% s(ns) is the input signal
% p is the order (default: 12)
% t(nf,3)
www.eeworm.com/read/409871/11309203
txt 5-1245msg2.txt
Subject: software for propositional analysis
hi ! i need to find a software to do propositional analysis to analyze large student ' write for my study . as far as i know , theoretically many differne
www.eeworm.com/read/263889/11337737
m ssa.m
function [pc,s,v]=SSA(x,dim,tau)
%Syntax: [pc,s,v]=SSA(x,dim,tau)
%_______________________________
%
% Singular Spectrum Analysis for a time series.
%
% pc is the matrix with the principal compo
www.eeworm.com/read/400577/11572580
m pca.m
%PCA Principal component analysis (PCA or MCA on overall covariance matrix)
%
% [W,FRAC] = PCA(A,N)
% [W,N] = PCA(A,FRAC)
%
% INPUT
% A Dataset
% N or FRAC Number of dimensions
www.eeworm.com/read/154843/11923748
m lpcauto.m
function [ar,e,k]=lpcauto(s,p,t)
%LPCAUTO performs autocorrelation LPC analysis [AR,E,K]=(S,P,T)
% Inputs:
% s(ns) is the input signal
% p is the order (default: 12)
% t(nf,3)
www.eeworm.com/read/343798/11927167
rpt senduard.map.rpt
Analysis & Synthesis report for senduard
Sun Nov 25 18:54:39 2007
Version 6.0 Build 178 04/27/2006 SJ Full Version
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1. Lega
www.eeworm.com/read/343797/11927189
rpt recuart.map.rpt
Analysis & Synthesis report for recuart
Sun Nov 25 18:56:58 2007
Version 6.0 Build 178 04/27/2006 SJ Full Version
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; Table of Contents ;
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1. Legal