Fast support-based clustering method for large-scale problems

DOI10.1016/j.patcog.2009.12.010zbMath1191.68580OpenAlexW1967740503MaRDI QIDQ962789

Kyu-Hwan Jung, Jaewook Lee, Dae-Won Lee

Publication date: 7 April 2010

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.12.010

zbMATH Keywords

dynamical systemkernel methodslarge-scale problemcluster labelingsupport vector clustering

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (6)

Convex decomposition based cluster labeling method for support vector clustering ⋮ Inductive manifold learning using structured support vector machine ⋮ Probabilistic generative ranking method based on multi-support vector domain description ⋮ Dynamic pattern denoising method using multi-basin system with kernels ⋮ Active learning using transductive sparse Bayesian regression ⋮ Generative Bayesian neural network model for risk-neutral pricing of American index options

Uses Software

• UCI-ml

Cites Work

• Estimating the Support of a High-Dimensional Distribution
• Numerical Optimization
• Clustering Based on Gaussian Processes
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