How to cluster a time series using KMeans in python
You can add more features based on the raw data, and using methods like RFM Analysis. RFM = recency, frequency, monetary
For example:
How often the user logged in?
The last time the user logged in?
So I have a data in the form [UID obj1 obj2..] x timestamp and I want to cluster this data in python using kmeans from sklearn. Where should I start?
EDIT:
So basically I'm trying to cluster users based on clickstream data, and classify them based on usage patterns.