Learning Representations for Time Series Clustering

2 code implementations • NeurIPS 2019 • Qianli Ma, Jiawei Zheng, Sen Li, Gary W. Cottrell

When applying seq2seq to time series clustering, obtaining a representation that effectively represents the temporal dynamics of the sequence, multi-scale features, and good clustering properties remains a challenge.

Anomaly Detection Clustering +4