Cluster Analysis Basics

[JoeM]

Which of your customers are similar to other customers? Which of your stores has similar demographics in the surrounding areas? Learn how to identify clusters of similarity.

You’ll Learn How to:

• Use Principal Components to reduce the number of variables to consider
• Use K-Means Clustering to determine the number of clusters and which records belong in each

Featured Tools: 

• Principle Components, K-Centroids Cluster Analysis, K-Centroids Diagnostics, Append Cluster

Presenter:   @CristonS

Date: 2017-03-07

Alteryx Designer Version: 11.0

[Jordy]

Hi Joe,

Will this webinar also be recorded (and made available), so that I can view it at another moment?

Thank you,

Jordy

[JoeM]

@Jordy

We will be recording this session for those who want to review at a later session. The recording can be found in the original post ~4-5hours following the training.

[JoeM]

The recording of the training has now been posted. Enjoy!

[alterpete]

I wonder if the Normalization in the Diagnostics tool really works. The scores do not change whether I normalize or not, seems a bit off in my opinion.

[alterpete]

Yeah, unfortunately there is an error at least in my version of Alteryx 11.7. Normalization is never activated even if you select it due to a typo in the R script.

Best