フィルターのクリア

Combine two or more gaussian components into one Gaussian Mixture (gmdistribution)

13 ビュー (過去 30 日間)
micholeodon
micholeodon 2020 年 2 月 10 日
コメント済み: micholeodon 2020 年 2 月 10 日
Hello,
Is there any way to combine two (or more) separate Gaussian Components into one?
clear; close all; clc;
N = 25; % N-points
D = 2; % D-dimensions
% generate data
X = randn(N,D);
Y = randn(N,D)+2; % +2 to spatially separate data components
% model gaussian components
muX = mean(X,1)
SX = cov(X)
muY = mean(Y,1)
SY = cov(Y)
GX = gmdistribution(muX,SX,1) % first component
GY = gmdistribution(muY,SY,1) % second component
% COMBINE !
GC = ???????????????(GX,GY);
I would like to get output like this:
GC =
Gaussian mixture distribution with 2 components in 2 dimensions
Component 1:
Mixing proportion: 0.500000
Mean: -0.0017 -0.1167
Component 2:
Mixing proportion: 0.500000
Mean: -0.0037 0.1367

採用された回答

Adam
Adam 2020 年 2 月 10 日
編集済み: Adam 2020 年 2 月 10 日
Doesn't
GC = gmdistribution( [muX; muY], cat( 3, SX, SY ), [1; 1] );
work?

その他の回答 (0 件)

カテゴリ

Help Center および File ExchangeStatistics and Machine Learning Toolbox についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by