Similarity matrix framework for data from union of subspaces

DOI10.1016/j.acha.2017.08.006zbMath1406.62066OpenAlexW2752230697MaRDI QIDQ723020

Ali Sekmen, Ahmet Bugra Koku, Ahmet Faruk Çakmak, Akram Al-Droubi

Publication date: 30 July 2018

Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.acha.2017.08.006

zbMATH Keywords

data clusteringskeleton decompositionsimilarity matrixunion of subspacesshape interaction matrixsubspace segmentation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Sign pattern matrices (15B35)

Related Items (4)

Perspectives on CUR decompositions ⋮ Unnamed Item ⋮ Perturbations of CUR Decompositions ⋮ Robust CUR Decomposition: Theory and Imaging Applications

Cites Work

• Unnamed Item
• \(l_p\)-recovery of the most significant subspace among multiple subspaces with outliers
• Foundations of a multi-way spectral clustering framework for hybrid linear modeling
• Optimal non-linear models for sparsity and sampling
• Nonlinear least squares in \(\mathbb R^{N}\)
• Nearest \(q\)-flat to \(m\) points
• Reduced row echelon form and non-linear approximation for subspace segmentation and high-dimensional data clustering
• Non-orthogonal fusion frames and the sparsity of fusion frame operators
• A decomposition theorem for frames and the Feichtinger Conjecture
• A Theory for Sampling Signals From a Union of Subspaces
• Robust Recovery of Signals From a Structured Union of Subspaces
• Filtrated Algebraic Subspace Clustering

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