Open pengzhenghao opened 7 months ago
I would suggest pre-segmenting that data. For example, if each row is a person, segment on gender or location. Or you can use normal K-Means first to get big cluster and then use KMeansConstrained to get smaller ones
My dataset is too large that it takes very long time to converge. Do you have any suggestion for my usecase? Thanks!