Fast semi-supervised clustering with enhanced spectral embedding

DOI10.1016/j.patcog.2012.05.007zbMath1248.68407OpenAlexW2011029476MaRDI QIDQ454422

J. Herrera, D. Rodríguez-Gómez

Publication date: 5 October 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.05.007

zbMATH Keywords

spectral embeddingsemantic gapside informationpairwise constraintsemi-supervised clustering (SSC)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (6)

A clustering algorithm based TS fuzzy model for tracking dynamical system data ⋮ Adaptive non-negative projective semi-supervised learning for inductive classification ⋮ Partial multi-dividing ontology learning algorithm ⋮ Deep low-rank subspace ensemble for multi-view clustering ⋮ Multi-view spectral clustering for uncertain objects ⋮ On the orthogonal distance to class subspaces for high-dimensional data classification

Uses Software

• SDPT3
• MNIST
• COIL-20

Cites Work

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• Solving semidefinite-quadratic-linear programs using SDPT3
• Graph dual regularization non-negative matrix factorization for co-clustering
• Fast density-weighted low-rank approximation spectral clustering
• Generalized re-weighting local sampling mean discriminant analysis
• Semi-supervised graph clustering: a kernel approach
• Lower Bounds for the Partitioning of Graphs
• Modeling the shape of the scene: A holistic representation of the spatial envelope

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