[scikit-learn] Any clustering algo to cluster multiple timing series data?
Mikkel Haggren Brynildsen
mbrynildsen at grundfos.com
Thu Jan 17 02:05:25 EST 2019
What about dynamic time warping ?
Sendt fra min iPhone
> Den 17. jan. 2019 kl. 05.31 skrev lampahome <pahome.chen at mirlab.org>:
>
> Cluster algo cluster samples by calculating the euclidean distance.
> I wonder if any clustering algo can cluster the timing series data?
>
> EX:
> Every items has there sold numbers of everyday.
> Item,Day1,Day2,Day3,Day4,Day5
> A,1,5,1,5,1
> B,10,50,10,50,10,
> C,4,70,30,10,50
>
> The difference ratio of A and B are 500%,20%,500%,20%,
> I want to make A&B be the same cluster, C is another one.
>
> If I don't want to calculate the difference ratio of each samples
>
> Is there anyway to cluster by the difference ratio of each samples?
>
> thx
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn
More information about the scikit-learn
mailing list