I learn machine learning from sciki and read its documents.
Clustering cluster groups based on the euclidean distance and filter them by different ways ex: guassian distribution, or mean-shift...etc.
But none of clustering algo cluster samples based on the variation ratio
EX: below every items has there sold numbers of everyday. Item,D1,D2 A,1,5 B,10,50 C,4,70 The variation ratio below: A:500% B:500% C:1750%
So A and B are the same group, C isn't.
Any cluster algo can cluster time series datasets based on variation ratio(or quantity)?