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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-11-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/8/11/2175 |