代码搜索：multivariate
找到约 564 项符合「multivariate」的源代码
代码结果 564
www.eeworm.com/read/474986/6798898
m mboxtest.m
function [MBox] = MBoxtest(X,alpha)
% Multivariate Statistical Testing for the Homogeneity of Covariance Matrices by the Box's M.
%
% Syntax: function [MBox] = MBoxtest(X,alpha)
%
%
www.eeworm.com/read/367152/9780091
m lans_gausstest.m
% lans_gausstest - Standard multivariate Gaussian test (d-D)
%
% [res] = lans_gausstest(x,label)
%
% _____OUTPUT_____________________________________________________________
% res result (vector)
www.eeworm.com/read/410988/11261577
c mvgmmpdf.c
/*
Compute the pdf of a mixture of a Multivariate Gaussian process
Usage: pdf = mvgmmpdf(x , mu , sigma , p);
------
Inputs
------
x Support vector (d x N x
www.eeworm.com/read/410988/11261583
m ce_mvgm.m
function out = ce_mvgm(Z , option);
% Stochastic Maximum Likelihood optimization with a Cross Entropy (CE) algorithm for
% a Multivariate Gaussian mixture estimation application
%
% Usage
% ---
www.eeworm.com/read/427909/8913478
m conf2mahal.m
% CONF2MAHAL - Translates a confidence interval to a Mahalanobis
% distance. Consider a multivariate Gaussian
% distribution of the form
%
% p(x) = 1/sqrt((2 * pi)^d *
www.eeworm.com/read/373250/9467552
m conf2mahal.m
% CONF2MAHAL - Translates a confidence interval to a Mahalanobis
% distance. Consider a multivariate Gaussian
% distribution of the form
%
% p(x) = 1/sqrt((2 * pi)^d *
www.eeworm.com/read/362500/9995992
m imgsimca.m
function model = imgsimca(img,data)
%IMGSIMCA SIMCA Classification for Multivariate Images
% This function allows the user to build SIMCA class models
% by outlining areas on a reference image (img)
www.eeworm.com/read/362500/9996120
m isimcapr.m
function newmod = isimcapr(data,model);
%ISIMCAPR Applies IMGSIMCA models to new images
% This function uses models developed with the IMGSIMCA function
% to classify areas on a new multivariate ima
www.eeworm.com/read/358211/10193726
gss hbmreg1.gss
/*
************************************************************************
* (C) Copyright 1999, Peter Lenk. All Rights Reserved.
* HBMREG1.GSS
* HB Multivariate Regression Model.
*
* Y_{ij}
www.eeworm.com/read/349646/10808689
m conf2mahal.m
% CONF2MAHAL - Translates a confidence interval to a Mahalanobis
% distance. Consider a multivariate Gaussian
% distribution of the form
%
% p(x) = 1/sqrt((2 * pi)^d *