Sparse and Low-Rank Subspace Data Clustering with Manifold Regularization Learned by Local Linear Embedding

Data clustering is an important research topic in data mining and signal processing communications. In all the data clustering methods, the subspace spectral clustering methods based on self expression model, e.g., the Sparse Subspace Clustering (SSC) and the Low Rank Representation (LRR) methods, h...

Full description

Bibliographic Details
Main Authors: Ye Yang, Yongli Hu, Fei Wu
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/8/11/2175