A method of learning weighted similarity function to improve the performance of nearest neighbor

DOI10.1016/J.INS.2009.04.012zbMath1194.68190OpenAlexW2170613853MaRDI QIDQ730907

Mansoor Zolghadri Jahromi, Elham Parvinnia, Robert I. John

Publication date: 1 October 2009

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

Full work available at URL: https://doi.org/10.1016/j.ins.2009.04.012

zbMATH Keywords

nearest neighborweighted metricsadaptive distance measureprototype reduction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (6)

A novel weight adjustment method for handling concept-drift in data stream classification ⋮ A stacking weighted \(k\)-nearest neighbour with thresholding ⋮ A new nearest neighbor classification algorithm based on local probability centers ⋮ Time series classification by class-specific Mahalanobis distance measures ⋮ Contrast of a fuzzy relation ⋮ A study on local properties and local contrast in fuzzy setting

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• Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error minimization
• Artificial Intelligence and Soft Computing - ICAISC 2004

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