Robust Subspace Clustering with Compressed Data

no code implementations • 30 Mar 2018 • Guangcan Liu, Zhao Zhang, Qingshan Liu, Kongkai Xiong

Dimension reduction is widely regarded as an effective way for decreasing the computation, storage and communication loads of data-driven intelligent systems, leading to a growing demand for statistical methods that allow analysis (e. g., clustering) of compressed data.

Clustering Computational Efficiency +1