Deep Spatiotemporal Clustering: A Temporal Clustering Approach for Multi-dimensional Climate Data

1 code implementation • 27 Apr 2023 • Omar Faruque, Francis Ndikum Nji, Mostafa Cham, Rohan Mandar Salvi, Xue Zheng, Jianwu Wang

Concentrating on joint deep representation learning of spatial and temporal features, we propose Deep Spatiotemporal Clustering (DSC), a novel algorithm for the temporal clustering of high-dimensional spatiotemporal data using an unsupervised deep learning method.

Clustering Representation Learning