Jacob Barhak will briefly discuss some uses for unsupervised learning algorithms, including clustering and self organization algorithms - some practical examples will be provided.

Algorithms discussed will include:
Traditional Clustering Algorithms (from Scikit-learn documentation): https://scikit-learn.org/stable/modules/clustering.html
Self Organization Algorithms (from Bernd Fritzke) : https://www.demogng.de/

Potential Examples:
Clustering towards analyzing a web log: https://github.com/Jacob-Barhak/ClusterWebLog

Clustering towards unit mapping (with Josh Schertz): Presentation: https://jacob-barhak.github.io/Presentation_Galvanize_Austin_2019_01.html ,

Web: https://clinicalunitmapping.com/about ,
Selected Video: https://youtu.be/vDXyCb60L5s

Clustering towards outlier detection Paper: http://www.modsimworld.org/papers/2018/MODSIM_2018_Barhak.pdf Presentation: http://sites.google.com/site/jacobbarhak/home/BarhakMODSIM_2018_04_25.odp Code: https://github.com/Jacob-Barhak/VisICU Results: https://jacob-barhak.github.io/VisualICU.html

Self Organization towards geometric reconstruction:
Video: https://youtu.be/Y8jyJqtOfs8 , Code: https://github.com/Jacob-Barhak/NN , Publication: https://sites.google.com/site/jacobbarhak/home/Jacob_Barhak_PhD_Thesis.pdf
Agenda

social from 6-630
presentation from 630 to 8

Parking

You can park on the building garage and receive validation
Note: this does not mean free parking, just a reduced fee (should be $7 if parking after 5)