In this SAS How To Tutorial, Cat Truxillo explores using the k-means clustering algorithm. In SAS, there are lots of ways that you can perform k-means clustering. You can write a program in PROC FASTCLUS, PROC KCLUS, PROC CAS, python, or R; Point and click in Visual Statistics, Enterprise Guide, Enterprise Miner, JMP, Model Studio, and SAS Studio. You can profile your clusters with graphs, save cluster scores to data sets, and much more. In this video, Cat will demonstrate k-means clustering two ways; using SAS Visual Statistics and using SAS Studio.

Download Data Files
Bank data can be found in the free trial of SAS Visual Data Mining and Machine Learning – [ Ссылка ]
Check out Cat's Iris data set on GitHub – [ Ссылка ]

Chapters
0:00 – What is k-means clustering and How does k-means clustering work
2:55 – How to do k-means clustering in SAS Visual Statistics
9:39 – How to do k-means clustering in SAS University Edition or SAS Studio

Learn more about SAS Software
◉ Building a Clustering Model in SAS Visual Statistics 8.2 on SAS Viya – [ Ссылка ]
◉ K-means Clustering in SAS | Comparing PROC FASTCLUS and PROC HPCLUS –[ Ссылка ]
◉ Ask the Expert: Cluster Analysis: Introduction to Best Practices –
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