LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering

no code implementations • 19 Oct 2019 • Di Xu, Tianhang Long, Junbin Gao

Massive volumes of high-dimensional data that evolves over time is continuously collected by contemporary information processing systems, which brings up the problem of organizing this data into clusters, i. e. achieve the purpose of dimensional deduction, and meanwhile learning its temporal evolution patterns.

Clustering