Last modified on 14 Sep 2020.


K-Shape clustering method is a method for clustering time series.

The main ideas of this algorithms are:

  • The distance measure is based on the cross-correlation of two time series.
  • The clustering process uses iterative approaches.
  • It is a raw-based method. It is fundamentally a variant of k-means with some interesting modification.
    • Define a distance between 2 time series.
    • How to average multiple time series.


Notes with this notation aren't good enough. They are being updated. If you can see this, you are so smart. ;)