Clustering and Grouping, what not to do
An overview in the context of Machine Learning with a dash of Astrophysics
This topic is one near and dear to my heart as I have seen some remarkable routines used in ways that… well let’s just say it wasn’t ideal. The basic properties of Machine Learning algorithms start with the basics of Data Science, and this is just as true in Clustering and Grouping routines. I have given versions of a talk on this subject at the 2017 ADACS conference as well as the November 2017 Sydney Data Science Breakfast meetup. For the description and the code demo see my repo at: Code Demo, What not to do
The slides that go with this workshop will be included after the publication they are involved in is finished and released by the journal.
To use the code or data included in the repo directly for publication or other public use please credit the author.
Dr. Elaina A. Hyde
Western Sydney University, Locked Bag 1797, Penrith South DC, NSW 1797, Australia