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
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.
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.
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.
