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/157396/11712832
tex hcompv.tex
%/* ----------------------------------------------------------- */
%/* */
%/* ___ */
www.eeworm.com/read/255755/12057210
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/150905/12248265
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/149739/12352650
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/124825/14536256
tex hrest.tex
%/* ----------------------------------------------------------- */
%/* */
%/* ___ */
www.eeworm.com/read/124825/14536324
tex hcompv.tex
%/* ----------------------------------------------------------- */
%/* */
%/* ___ */
www.eeworm.com/read/223154/14652295
m var.m
function y=var(x,opt,DIM)
% VAR calculates the variance.
%
% y = var(x [, opt[, DIM]])
% calculates the variance in dimension DIM
% the default DIM is the first non-single dimension
%
% op
www.eeworm.com/read/192035/8410451
m ar1signv.m
function [g,a,c,g0,a0,c0]=ar1signv(x,sig)
% AR1SIGNV - AR(1) model estimation for noise component of data.
% Syntax: [g,a,c,g0,a0,c0]=ar1signv(x,sig);
% Naively estimates the parameters for a com
www.eeworm.com/read/192034/8410523
m eof.m
function [F,L,B]=eof(X,n,s);
% EOF calculates the empirical orthogonal functions
% and amplitudes (principal components) of the data matrix 'X'.
% Syntax: [F,L,B]=eof(X); [F,L,B]=eof(X,.9,'norm
www.eeworm.com/read/388072/8637693
m reducedeof.m
function [V,EOFs,EC,error]=ReducedEOF(D, p, minVar, r)
% This function filters out any points with a variance that
% is smaller than the variance minVar.
% Is a fourth optional parameter r is given