Time series distance metric

Question

In order to clusterize a set of time series I\'m looking for a smart distance metric. I\'ve tried some well known metric but no one fits to my case.

ex: Let\'s assume t

Answer 1

what about using standard Pearson correlation coefficient? then you can assign the new point to the cluster with the highest coefficient.

correlation = scipy.stats.pearsonr(, )