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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Captions

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Items portrayed in this file

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124,466 byte

50 second

288 pixel

432 pixel

video/webm

437a049691bdf12cea8e6640e5bd53fd827d3c28

File history

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Date/TimeDimensionsUserComment
current17:11, 4 August 2017 (122 KB)wikimediacommons>CklingNicer separation of the detection for cluster 2 and 3.

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