Generalized quadratic discriminant analysis
作者：
Highlights：
• A nonparametric classification technique has been proposed.
• It generalizes Fisher׳s discriminant analysis.
• Cross-validation is used to make the technique adaptive to given data.
• Found empirically to compare very favourably with other nonparametric methods.
• Computationally cost-effective.
摘要
Highlights•A nonparametric classification technique has been proposed.•It generalizes Fisher׳s discriminant analysis.•Cross-validation is used to make the technique adaptive to given data.•Found empirically to compare very favourably with other nonparametric methods.•Computationally cost-effective.
论文关键词：Linear discriminant analysis,Mahalanobis distance,Elliptically symmetric distributions
论文评审过程：Received 6 February 2014, Revised 4 August 2014, Accepted 18 February 2015, Available online 6 March 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.02.016
