Abstract / Synopsis
This article is a gentle introduction to K-means, a mathematical technique of processing data for further classification. We begin with a brief historical introduction, where we find connections with Plato’s Timæus, von Linné’s binomial classification, and the star clustering concept of Mary Sommerville and collaborators. Artificial intelligence algorithms use K-means as a classification methodology to learn about data in a very accurate way, because it is a quantitative procedure based on similarities.
DOI
10.5642/jhummath.202201.19
Recommended Citation
Marcio Nascimento, "In Search of Star Clusters: An Introduction to the K-Means Algorithm," Journal of Humanistic Mathematics, Volume 12 Issue 1 (January 2022), pages 243-255. DOI: 10.5642/jhummath.202201.19. Available at: https://scholarship.claremont.edu/jhm/vol12/iss1/19
Terms of Use & License Information
Included in
Arts and Humanities Commons, Mathematics Commons, Science and Mathematics Education Commons
