Rank: 12469 based on 0 downloads (last 30 days) and 0 file submitted
photo

dattatray

E-mail

Personal Profile:

Student


 

Watch this Author's files

 

Comments and Ratings by dattatray View all
Updated File Comments Rating
23 Jun 2011 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Mo Chen

I have a small Question,
suppose i have modeled a data.
it has 100 vectors each having 36 features.
so my input is 36 x 100
now i have given 5 clusters,model is trained now.
now i have set of 5 mu(36 x 1) and 5 sigma(36 x 36 x 5).
lets us say i have a unknown vector x of size(36 x 1)
now how to find out,in which cluster this particular vector fits..?
for each cluster we have only mu,and sigma,and for a single vector matlab gives sigle value of mean,and cov()
can you help me in this..?
if it would have been k-means,its easy to calculate euclidean distance with cluster centroid,which ever is minimum,that is answer..

28 Oct 2010 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Mo Chen

Thank you Very much sir..!!

27 Oct 2010 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Mo Chen

Can You please tell me..about initialization which you have made.
generating random values is fine..
but i havent understood

use of maxVal=bsxfun(@minus,m'*X, sum(m.^2,1)'/2 )
[dum,label] = max(bsxfun(@minus,m'*X,sum(m.^2,1)'/2));
can you please tell me that...?
code is really wonderful,
but if i could get any theory material regarding functions you have written,especially for expectation,maximization,and log gaussian pdf..
please mail me on d.dattatray@gmail.com
thank you in advance...

Contact us