I have 100 people with their mobile browsing records, where each record tracks the person's browsing url and duration etc., and thus each person will have multiple rows of records.
Now I want to cluster the 100 ppl based on their records using K-prototypes(a combination of kmeans and kmodes) algorithm, but the problem is that each row of the data is not equivalent to one person. so how should I approach to this problem?
Any suggestions or ideas?