HyCASTLE: A Hybrid ClAssification System based on Typicality, Labels and Entropy

作者：

Highlights：

• HyCASTLE produces shape-free clusters after outlier removal from the training set.

• It considers both the data topological properties and labels to form clusters.

• Dynamic topological constraints are used to minimise clusters entropy.

• All cluster information is used to minimise the impact of noise on prediction.

摘要

•HyCASTLE produces shape-free clusters after outlier removal from the training set.•It considers both the data topological properties and labels to form clusters.•Dynamic topological constraints are used to minimise clusters entropy.•All cluster information is used to minimise the impact of noise on prediction.

论文关键词：Machine learning,Hybrid models,Multi-class classification,Supervised classification,Clustering

论文评审过程：Received 20 October 2020, Revised 7 March 2022, Accepted 9 March 2022, Available online 18 March 2022, Version of Record 25 March 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.108566