[Discussion] How to deal with duplicate IDs in K means clustering

I have a dataset of a website pulled out from Google Analytics that contains user’s subscription and demographic details for three months.

One customer could have multiple records in the dataset, a single customer could visit the same page or different pages in a month so it can not be removed.

If I run K means on this dataset, will the output/predictions be inaccurate and can have bias?

Or is there any approach or clustering method that I could use? …

clustering deal duplicate machinelearning