Title

An Introduction to k-Means Clustering

Document Type

Conference Proceeding

Publication Date

2-2016

Department

Computer Science

Abstract

The open-access materials (http://modelai.gettysburg.edu/2016/kmeans/) include exercises adaptable to Matlab or its free-and-open-source-software (FOSS) Octave alternative, a FOSS Weka data mining tool clustering tutorial, test data sets, guided implementation exercises, PowerPoint slides, an index to recommended online and textbook resources, and a notation guide we created to show the relationship between diverse notations in diverse sources. To date this is the most comprehensive resource collection available on the most popular clustering algorithm. [From the Author]

Comments

Presented during the Sixth Symposium on Educational Advances in Artificial Intelligence in Artificial Intelligence on February 13-14, 2016.