Rank: 14 based on 1103 downloads (last 30 days) and 18 files submitted
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Michael Chen

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Machine Learning, Bayesian Statistics

 

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Files Posted by Michael View all
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(last 30 days) 		Comments Rating
04 Feb 2012 Screenshot K-medoids K-medoids clustering algorithm Author: Michael Chen clustering, kmedoids, kmeans 62 0
04 Feb 2012 Spherical K-means A kmeans like clustering algorithm to cluster data on a unit sphere. Author: Michael Chen clustering 13 2
04 Feb 2012 Screenshot EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Michael Chen em, clustering, gaussian, gmm, mixture, mle 340 39
  • 4.53333
4.5 | 15 ratings
04 Feb 2012 Screenshot kmeans clustering Fully vectorized kmeans algorithm. Fast yet simple (10 lines) Author: Michael Chen kmeans, clustering, kmeans code for image..., vector quantization 279 21
  • 4.8
4.8 | 12 ratings
03 Feb 2012 Screenshot K-means++: kmeans algorithm with smart seeding This is an implementation of the paper k-means++: the advantages of careful seeding. Author: Michael Chen clustering, kmeans, data analysis 88 0
Comments and Ratings by Michael View all
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08 Feb 2012 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Michael Chen

Hi Andreas, that function is in statistics toolbox. It random sample k integers between 1 to n.
07 Feb 2012 K nearest neighbor search Lightning fast k nearest neighbor search, yet very simple. Author: Michael Chen

KDTree is only suitable for low dimensional data. for very high dimensional data, it sucks big time.
07 Feb 2012 Spherical K-means A kmeans like clustering algorithm to cluster data on a unit sphere. Author: Michael Chen

your input is not right. the function assumes dxn matrix.

even the result is not expected, it only means, this algorithm is not suitable for your data. it does not mean the implementation is wrong.
07 Feb 2012 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Michael Chen

Nicolas:
I dont see problem
07 Feb 2012 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Michael Chen

For any one having question about changing result:

Please read wiki page. EM is only finding local minimal, which means the result depend on initialization.
Comments and Ratings on Michael's Files View all
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Updated File Comment by Comments Rating
08 Feb 2012 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Michael Chen Chen, Michael

Hi Andreas, that function is in statistics toolbox. It random sample k integers between 1 to n.
08 Feb 2012 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Michael Chen Andreas

Hi Michael,

A small question: the randsample function called at line 44 seemingly does not exist, as I get an error. I am running R2011b. Are other, non-native, files required to run emgm? Thanks.
07 Feb 2012 K nearest neighbor search Lightning fast k nearest neighbor search, yet very simple. Author: Michael Chen Chen, Michael

KDTree is only suitable for low dimensional data. for very high dimensional data, it sucks big time.
07 Feb 2012 Spherical K-means A kmeans like clustering algorithm to cluster data on a unit sphere. Author: Michael Chen Chen, Michael

your input is not right. the function assumes dxn matrix.

even the result is not expected, it only means, this algorithm is not suitable for your data. it does not mean the implementation is wrong.
07 Feb 2012 EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Michael Chen Chen, Michael

Nicolas:
I dont see problem
Top Tags Applied by Michael
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clustering, information theory, kmeans, em, entropy
Files Tagged by Michael View all
  • 1 - 5 of
  • 18
Updated   File Tags Downloads
(last 30 days) 		Comments Rating
04 Feb 2012 Screenshot K-medoids K-medoids clustering algorithm Author: Michael Chen clustering, kmedoids, kmeans 62 0
04 Feb 2012 Spherical K-means A kmeans like clustering algorithm to cluster data on a unit sphere. Author: Michael Chen clustering 13 2
04 Feb 2012 Screenshot EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Michael Chen em, clustering, gaussian, gmm, mixture, mle 340 39
  • 4.53333
4.5 | 15 ratings
04 Feb 2012 Screenshot kmeans clustering Fully vectorized kmeans algorithm. Fast yet simple (10 lines) Author: Michael Chen kmeans, clustering, kmeans code for image..., vector quantization 279 21
  • 4.8
4.8 | 12 ratings
03 Feb 2012 Screenshot K-means++: kmeans algorithm with smart seeding This is an implementation of the paper k-means++: the advantages of careful seeding. Author: Michael Chen clustering, kmeans, data analysis 88 0

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