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.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
classification		classification
clustering		clustering
datasets		datasets
README.md		README.md
Time Series Classification and Clustering.ipynb		Time Series Classification and Clustering.ipynb

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