Ensembles of random sphere cover classifiers
作者：
Highlights：
• We developed novel ensemble algorithms for generalised instance based classifiers.
• The base classifier used is a randomised sphere cover classifier.
• The ensemble take advantage of the random selection of spheres and the parameters to add diversity to the ensemble.
• The subspace method for ensemble design is used successfully for the randomised sphere cover.
• We tested the algorithms on various data sets including a case study using gene expression data sets.
摘要
Highlights•We developed novel ensemble algorithms for generalised instance based classifiers.•The base classifier used is a randomised sphere cover classifier.•The ensemble take advantage of the random selection of spheres and the parameters to add diversity to the ensemble.•The subspace method for ensemble design is used successfully for the randomised sphere cover.•We tested the algorithms on various data sets including a case study using gene expression data sets.
论文关键词：Sphere cover,Ensemble,B/V decomposition
论文评审过程：Received 24 October 2014, Revised 3 June 2015, Accepted 22 July 2015, Available online 31 July 2015, Version of Record 28 September 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.07.010
