Mixture distribution, classification

a) Generate a mixture distribution which is consists of 3 overlapping single distributions...

Answer 1

[Ayush Anand]

Hi,

I understand you want to generate a Gaussian mixture distribution consisting of 3 overlapping single Gaussian distributions. This can be done by generating 3 Gaussian distributions with different means lying close enough so that they overlap, and using the "gmdistribution" function. The "gmdistribution" function has the following signature:

m = gmdistribution(mu,sigma,p) 

This creates a Gaussian mixture model object "m" using the specified means "mu" and covariances "sigma" of the individual models with mixing proportions "p".

You can read more about the "gmdistribution" function here:

https://www.mathworks.com/help/stats/gmdistribution.html

I hope this helps!