Any cluster algo can cluster time series datasets based on variation ratio(or quantity)?












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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)?









share









$endgroup$

















    0












    $begingroup$


    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)?









    share









    $endgroup$















      0












      0








      0





      $begingroup$


      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)?









      share









      $endgroup$




      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)?







      machine-learning scikit-learn clustering





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