I am trying to run a k-means model.
My databse has 2.800.000 records but the result I obtain only contains 1.000.000.
Is there any limit on the number of records considered?
Let me just rephrase the question to check whether I got th problem correctly. You have 28000000 records and apply a k-means clustering model on it. But as the resulting output you only see 1000000 records assigned to a cluster and other 27 million is missing
Is it right?
I have 2.8 million records. Running the model only one million records are assigned, while the other 1.8 million are not assigned...
You can check the print screen of the results I obtain by following this link:
Sorry if I was not able to explain my issue.