[Insight-users] weighted Gaussian mixtures

[Audette, Michel]

Dear all, 

I am working on expectation maximization of Gaussian mixtures, and data corresponding to one of the classes seem to be very flat, in relation to the other classes, so that EM tends to assign it a really large variance. I would like to use statistics computed from a small set of training points to not only initialize the expectation maximization, but provide  values which could be assigned a strong weight, so that they influence the final result more than in classic EM. 

Is anyone aware of such as refinement to expectation maximization, and of a possible implementation in ITK? 

Best regards, 

Michel

Michel Audette, Ph.D.          
Innovation Center Computer Assisted Surgery (ICCAS)          
Philipp-Rosenthal-Strasse 55         
Leipzig, Germany         
Phone: ++49 (0) 341 / 97 - 1 20 13         
Fax: ++49 (0) 341 / 97 - 1 20 09