Features selection and ‘possibility theory’
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摘要
A method is presented that uses both ‘cluster analysis’ and ‘possibility theory’ to select the most significant variables in multidimensional data. The method is applied to a set of biomedical data from electron spin resonance spectroscopy measurements on patients with a brain injury.
论文关键词:Clustering algorithms,Data analysis,Multivariate analysis,Fuzzy sets,Pattern recognition
论文评审过程:Received 4 January 1985, Revised 6 June 1985, Accepted 5 July 1985, Available online 19 May 2003.
论文官网地址:https://doi.org/10.1016/0031-3203(86)90033-6