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Hello,

I am trying to study the changes in consumers' buying behavior before the pandemic and during the pandemic.
I have a dataset with sales of a big clothing company and I have split the dataset into the above mentioned periods.
I have assigned the RFM values for each customer for both of the periods and clustered the data using K-means clustering.
Now I have four clusters for each period and I would like to find the how the clustering has changed. I am thinking that something like "customer cluster migration" would be the ideal, to see if each customer moved to another cluster or not after the pandemic and to which cluster exactly.

If anyone can help please I would really appreciate.

Thank you in advance,
Antouanet