Maximum Block Energy Guided Robust Subspace Clustering

Subspace clustering is useful for clustering data points according to the underlying subspaces. Many methods have been presented in recent years, among which Sparse Subspace Clustering (SSC), Low-Rank Representation (LRR) and Least Squares Regression clustering (LSR) are three representative methods...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 45; no. 2; pp. 2652 - 2659
Main Authors:	Qin, Yalan, Zhang, Xinpeng, Shen, Liquan, Feng, Guorui
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.02.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Clustering Clustering algorithms Columns (structural) Computer vision constrained homogenous function Data points Energy Errors Geometry iterative algorithm Iterative algorithms Iterative methods Least squares method Machine learning Machine learning algorithms maximum block energy Principal component analysis robust Subspace clustering Subspaces
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
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