Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside
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Create spatio-time cluster.py
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README.md

Time Series Classification and Clustering

The work of Dr. Eamonn Keogh at University of California Riverside has shown that a good way to classify time series is with a k-NN algorithm using a dynamic time warping similarity measure.

This repo is meant to implement this time series classification method in Python. The same techniques are also extended to clustering time series.

I have also written a tutorial on this subject.