An effective discretization method for disposing high-dimensional data

DOI10.1016/j.ins.2014.02.113zbMath1341.68167OpenAlexW2081141847MaRDI QIDQ726197

Keqiu Li, Heng Qi, Shusheng Gao, Deqin Yan, Yingwei Jin, Yu Sang

Publication date: 8 July 2016

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.02.113

zbMATH Keywords

dimension reductionhigh-dimensional datafeature discretizationlocal linear embedding (LLE)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• MODL

Cites Work

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• Optimum simultaneous discretization with data grid models in supervised classification: a Bayesian model selection approach
• MODL: a Bayes optimal discretization method for continuous attributes
• Khiops: A statistical discretization method of continuous attributes
• Principal component analysis.
• Rough sets
• Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Nonlinear Dimensionality Reduction
• Elements of Information Theory
• Multivariate discretization for set mining

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