SAS Tutorial | K-means Clustering Algorithm

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.

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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

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[yvesyuxuanfan]

Thank you, searched the web for a while, only to find very few instructions on K-Means clustering for SAS. Your video is very informative and helpful!

[rogerward]

This is wonderful! I don't know how I missed seeing this when it was released. This is one to watch take notes! I am looking forward to applying it. Thanks, Cat!

[michaeltuchman]

I really liked the idea of using PCA along with clustering.

K-means is in such wide use that I wish people would understand that k-means will produce clusters whether or not the data are naturally clustered. As such, it is really a *partitioning* method. As an example, you can create 4 random uniform variables between 0 and 1 and cluster them with k-means, and you'll get an answer. I'm glad you at least cover the CCC, and I think value could be added by discussing whether the summary stats justify the division of the data into clusters.

AS it pertains to this video, the IRIS example shows clusters 2 and 3, but I'm not convinced, without seeing a rotation that separates them, that they are really separate.

[catherinetruxillo]

Hey, join the conversation! How are you using k-means clustering right now? Leave a comment and let me know.

[chrisblankenship]

As always, excellent presentation and demonstration Dr. Cat!

[rhodesfrances]

Very informative. Keep up the good work!

[tingtingchen]

Thank you, such an insightful lecture, really enjoy it!

[LaSupp]

Is there an approach or algorithm to figure out what the optimum number of groups might be given the data?

[gagofure]

You didn't show how to do cluster observation in University Edition

[dritans]

If I have an ID variable that identifies each observation.
Is there a way to assign each ID with a new variable (Cluster) that shows the cluster it belongs to, in Visual analytics?