Yue-ZHAO/time-series-classification-and-clustering

Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside

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.