Sparse Subspace Clustering: Algorithm, Theory, and Applications

Many real-world problems deal with collections of high-dimensional data, such as images, videos, text, and web documents, DNA microarray data, and more. Often, such high-dimensional data lie close to low-dimensional structures corresponding to several classes or categories to which the data belong....

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Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 35; číslo 11; s. 2765 - 2781
Hlavní autori:	Elhamifar, E., Vidal, R.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Los Alamitos, CA IEEE 01.11.2013 IEEE Computer Society
Predmet:	(\ell_1)-minimization Algorithms Applied sciences Artificial Intelligence Biological and medical sciences Biometry - methods clustering Clustering algorithms Computer science; control theory; systems Computer vision convex programming Data processing. List processing. Character string processing Detection, estimation, filtering, equalization, prediction Exact sciences and technology Face Face - anatomy & histology face clustering Fundamental and applied biological sciences. Psychology Gene expression High-dimensional data Humans Image Interpretation, Computer-Assisted - methods Information, signal and communications theory intrinsic low-dimensionality Memory organisation. Data processing Molecular and cellular biology Molecular genetics motion segmentation Noise Optimization Pattern Recognition, Automated - methods principal angles Programming theory Sample Size Signal and communications theory Signal, noise Software Sparse matrices sparse representation spectral clustering subspaces Telecommunications and information theory Theoretical computing Vectors Cluster analysis High-dimensional data Program optimization DNA chip Video signal Convex programming ℓ Vector space Facies principal angles Data distribution Sparse representation Bioinformatics spectral clustering Computer vision Data analysis Dimensionality Spectral method Motion estimation Subspace method motion segmentation Cluster Minimization Text face clustering intrinsic low-dimensionality Image segmentation subspaces Multidimensional database NP hard problem Data models clustering Synthetic data
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
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