qianlima-lab / DTCR

The paper "Learning Representations for Time Series Clustering"

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DTCR

The paper "Learning Representations for Time Series Clustering" accepted by 2019 Neural Information Processing Systems (NeurIPS).

Jiawei Zheng and Sen Li equally contributed to this work.

Code

The code for DTCR.

Dependencies

  • tensorflow 1.0 and above

Usage

This repository contains a demo of Coffee in the UCR dataset. You can run the command:

  • Train: python train_model.py
  • Test: python load_model_Coffee.py

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The paper "Learning Representations for Time Series Clustering"


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