meteorits

Provides a unified mixture-of-experts (ME) modeling and estimation framework with several original and flexible ME models to model, cluster and classify heterogeneous data in many complex situations where the data are distributed according to non-normal, possibly skewed distributions, and when they might be corrupted by atypical observations. Mixtures-of-Experts models for complex and non-normal distributions ('meteorits') are originally introduced and written in 'Matlab' by Faicel Chamroukhi. The references are mainly the following ones. The references are mainly the following ones. doi:10.1016/j.neunet.2009.06.040 https://chamroukhi.com/FChamroukhi-PhD.pdf doi:10.48550/arXiv.1506.06707 https://chamroukhi.com/FChamroukhi-HDR.pdf doi:10.1109/IJCNN.2016.7727580 doi:10.1016/j.neunet.2016.03.002 doi:10.1016/j.neucom.2017.05.044.

Last 30 days

This package has been downloaded 121 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.

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Last 365 days

This package has been downloaded 1,640 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Sep 11, 2024 with 24 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.