Dataset complexity in gene expression based cancer classification using ensembles of k-nearest neighbors
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摘要
ObjectiveWe explore the link between dataset complexity, determining how difficult a dataset is for classification, and classification performance defined by low-variance and low-biased bolstered resubstitution error made by k-nearest neighbor classifiers.
论文关键词：Pattern recognition,Gene expression,Cancer classification,k-nearest neighbors,Ensemble of classifiers
论文评审过程：Received 12 November 2007, Revised 5 August 2008, Accepted 6 August 2008, Available online 14 September 2008.
论文官网地址：https://doi.org/10.1016/j.artmed.2008.08.004
