File:Parameter estimation process infinite Gaussian mixture model.webm

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Parameter_estimation_process_infinite_Gaussian_mixture_model.webm(WebM audio/video file, VP9, length 50 s, 432 × 288 pixels, 20 kbps overall, file size: 122 KB)

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

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File history

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Date/TimeThumbnailDimensionsUserComment
current16:11, 4 August 201750 s, 432 × 288 (122 KB)CklingNicer separation of the detection for cluster 2 and 3.
07:21, 4 August 201750 s, 432 × 288 (118 KB)CklingVersion with 3 clusters, more intuitive.
22:16, 3 August 201750 s, 432 × 288 (75 KB)Cklingadded the first frame
21:46, 3 August 201750 s, 432 × 288 (73 KB)Ckling{{subst:Upload marker added by en.wp UW}} {{Information |Description {{en|Histograms for one-dimensional datapoints belonging to clusters detected by an infinite Gaussian mixture model. During the parameter estimation based on Gibbs sampling , new c...
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