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
Best Answer