Orthogonal self-guided similarity preserving projection for classification and clustering

DOI10.1016/j.neunet.2017.01.001zbMath1434.68405OpenAlexW2576167394WikidataQ38978883 ScholiaQ38978883MaRDI QIDQ2180868

Xiaozhao Fang, Lunke Fei, Shaohua Teng, Xuelong Li, Yong Xu, Zhihui Lai

Publication date: 15 May 2020

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2017.01.001

zbMATH Keywords

dimensionality reductionsubspace clusteringfeature representationintrinsic structure

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Computational aspects of data analysis and big data (68T09)

Related Items (2)

Inter-class sparsity based discriminative least square regression ⋮ Low-rank tensor constrained co-regularized multi-view spectral clustering

Uses Software

• Yall1

Cites Work

• Sparsity preserving projections with applications to face recognition
• Max-min distance nonnegative matrix factorization
• A survey on soft subspace clustering
• Linear reconstruction measure steered nearest neighbor classification framework
• An efficient local Chan-Vese model for image segmentation
• Alternating Direction Algorithms for $\ell_1$-Problems in Compressive Sensing
• Kernel Sparse Representation-Based Classifier
• Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors
• Learning a Nonnegative Sparse Graph for Linear Regression
• Graph Regularized Sparse Coding for Image Representation
• Sparse tensor discriminant analysis

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