Pattern recognition via projection-based \(k\)NN rules

DOI10.1016/j.csda.2009.12.009zbMath1464.62070OpenAlexW1995046110MaRDI QIDQ962393

Marcela Svarc, Ana Justel, Ricardo Fraiman

Publication date: 6 April 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2009.12.009

zbMATH Keywords

robustnesspattern recognitionhigh-dimensional data\(k\)NN rules

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Is the \(k\)-NN classifier in high dimensions affected by the curse of dimensionality?

Uses Software

• CLUES
• UCI-ml
• LMNN

Cites Work

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• Simultaneous cancer classification and gene selection with Bayesian nearest neighbor method: an integrated approach
• CLUES: a non-parametric clustering method based on local shrinking
• Trimmed bagging
• Robust nearest-neighbor methods for classifying high-dimensional data
• Trimmed means for functional data
• Selection of Variables for Cluster Analysis and Classification Rules
• Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data

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