Skip to content

Latest commit

 

History

History
9 lines (5 loc) · 334 Bytes

README.md

File metadata and controls

9 lines (5 loc) · 334 Bytes

Deep Time-Series Clustering

Clustering Time-series data using Deep AutoEncoders.

Dataset used in this work: HAR (Human Activity Recognition).

FeatureBasedAEClustring.ipynb: clustering data using feature introduced in the HAR dataset.

TimeSeriesAEClustring.ipynb: clustering data using pure time-series signals.