File:Parameter estimation process infinite Gaussian mixture model.webm
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Parameter_estimation_process_infinite_Gaussian_mixture_model.webm (file size: 122 KB, MIME type: video/webm)
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Summary
Histograms for one-dimensional datapoints belonging to clusters detected by an infinite Gaussian mixture model. During the parameter estimation based on Gibbs sampling , new clusters are created and grow on the data. The legend shows the cluster colours and the number of datapoints assigned to each cluster.
Ipython notebook for generating the images: https://nbviewer.jupyter.org/github/ckling/notebooks/blob/master/gaussian_mixture_models.ipynb
Code for creating the video from the images:
png2yuv -I p -f 2 -b 0 -n 100 -j gmm%03d.png > gmm.yuv vpxenc -o gmm.webm gmm.yuv
Licensing
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Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the section entitled GNU Free Documentation License. |
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File history
Click on a date/time to view the file as it appeared at that time.
| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 17:11, 4 August 2017 |  | (122 KB) | wikimediacommons>Ckling | Nicer separation of the detection for cluster 2 and 3. |
File usage
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