Spectral clustering with eigenvector selection

DOI10.1016/j.patcog.2007.07.023zbMath1132.68808OpenAlexW2035548721MaRDI QIDQ2462594

Tao Xiang, Shaogang Gong

Publication date: 30 November 2007

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2007.07.023

zbMATH Keywords

unsupervised learningimage segmentationspectral clusteringfeature selectionvideo behaviour pattern clustering

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (9)

A non-parametric method to estimate the number of clusters ⋮ Enabling scalable spectral clustering for image segmentation ⋮ Eigen Selection in Spectral Clustering: A Theory-Guided Practice ⋮ Exact \(k\)-component graph learning for image clustering ⋮ Spectral Embedding Norm: Looking Deep into the Spectrum of the Graph Laplacian ⋮ Robust MST-Based Clustering Algorithm ⋮ Clustering based on eigenvectors of the adjacency matrix ⋮ Design of interpretable fuzzy rule-based classifiers using spectral analysis with structure and parameters optimization ⋮ Blind Identification of Stochastic Block Models from Dynamical Observations

Cites Work

• Selection of relevant features and examples in machine learning
• Estimating the dimension of a model
• Contour and texture analysis for image segmentation
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