Rank: 12 based on 1584 downloads (last 30 days) and 19 files submitted
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Mo Chen

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Machine Learning, Bayesian Statistics

 

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18 Mar 2013 Log scale density function of basic distributions probability density function of basic distributions in log scale Author: Mo Chen pdf, probability, distribution, statistics, machine learning, prml 20 0
13 Mar 2012 Information Theory Toolbox Functions for Information theory, such as entropy, mutual information, KL divergence, etc Author: Mo Chen mutual information, relative entropy, joint entropy, conditional entropy, entropy, kl divergence 95 4
  • 5.0
5.0 | 3 ratings
29 Feb 2012 Random number with specified probability Random number from a discrete distribution Author: Mo Chen discrete multinomial ... 11 3
  • 5.0
5.0 | 1 rating
29 Feb 2012 Screenshot EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Mo Chen em, clustering, gmm, mle, mixture, gaussian 556 57
  • 4.54839
4.5 | 33 ratings
28 Feb 2012 Screenshot Variational Bayesian Inference for Gaussian Mixture Model Variational Bayes method (mean field) for GMM can auto determine the number of components Author: Mo Chen bayesian, gaussian, variational, gmm 136 5
  • 4.33333
4.3 | 3 ratings
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11 Mar 2013 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Mo Chen


Hi, cjain, you have function call mu in path. It is your problem to solve, not mine.
07 Sep 2012 Functional Library Functional programming Author: Matthew Maycock

29 Aug 2012 Kmeans Kmeans implemented using accumarray Author: Wei LI

29 Aug 2012 Kmeans Kmeans implemented using accumarray Author: Wei LI

Carry on
20 Mar 2012 kmeans clustering Fully vectorized kmeans algorithm. Fast yet simple (10 lines) Author: Mo Chen

It is simply not for image.
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15 Apr 2013 Variational Bayesian Inference for Gaussian Mixture Model Variational Bayes method (mean field) for GMM can auto determine the number of components Author: Mo Chen Paul

Easy to use and quick for my data (~4000 pts, yielding ~20 clusters).

That having been said, is there any chance of getting more documentation on the outputs?

I need to take the identified clusters and use the model to classify future data. I've read and understood Bishop, but it is still difficult to reverse engineer the code (terse the variable names) to actually use the identified model.
11 Mar 2013 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Mo Chen Chen, Mo


Hi, cjain, you have function call mu in path. It is your problem to solve, not mine.
04 Mar 2013 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Mo Chen cjain

hi, i m finding following error:1.Error: File: emgm.m Line: 77 Column: 33
"mu" previously appeared to be used as a function or command,
conflicting with its use here as the name of a variable.
A possible cause of this error is that you forgot to initialize the
variable, or you have initialized it implicitly using load or eval.
2.Input argument "X" is undefined.

Error in ==> emgm_1 at 8
R = initialization(X,init);
plz plz resolve it
04 Mar 2013 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Mo Chen cjain

28 Feb 2013 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Mo Chen Praveen

Hi, thanks for the code; well written.
Can you help me out with a simple query? When we specify the number of Gaussians to (say 2), can we find the weight of each Gaussian component, (i.e weight of all samples that have label=1 and weight of all samples that have label=2)?
Top Tags Applied by Mo
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clustering, kmeans, em, information theory, mutual information
Files Tagged by Mo View all
  • 1 - 5 of
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Updated   File Tags Downloads
(last 30 days) 		Comments Rating
18 Mar 2013 Log scale density function of basic distributions probability density function of basic distributions in log scale Author: Mo Chen pdf, probability, distribution, statistics, machine learning, prml 20 0
13 Mar 2012 Information Theory Toolbox Functions for Information theory, such as entropy, mutual information, KL divergence, etc Author: Mo Chen mutual information, relative entropy, joint entropy, conditional entropy, entropy, kl divergence 95 4
  • 5.0
5.0 | 3 ratings
29 Feb 2012 Random number with specified probability Random number from a discrete distribution Author: Mo Chen discrete multinomial ... 11 3
  • 5.0
5.0 | 1 rating
29 Feb 2012 Screenshot EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Mo Chen em, clustering, gmm, mle, mixture, gaussian 556 57
  • 4.54839
4.5 | 33 ratings
28 Feb 2012 Screenshot Variational Bayesian Inference for Gaussian Mixture Model Variational Bayes method (mean field) for GMM can auto determine the number of components Author: Mo Chen bayesian, gaussian, variational, gmm 136 5
  • 4.33333
4.3 | 3 ratings

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