A novel extreme learning machine based kNN classification method for dealing with big data
作者：
Highlights：
• Some ELMs are used in parallel as experts to map data into discriminative space.
• The training data are easily grouped into some clusters in the new feature space.
• An index is calculated per group to help finding corresponding groups of a sample.
• A tree is used to find corresponding groups of a sample and applying kNN on it.
• The method is evaluated on 4 big datasets in absence and presence of noise.
摘要
•Some ELMs are used in parallel as experts to map data into discriminative space.•The training data are easily grouped into some clusters in the new feature space.•An index is calculated per group to help finding corresponding groups of a sample.•A tree is used to find corresponding groups of a sample and applying kNN on it.•The method is evaluated on 4 big datasets in absence and presence of noise.
论文关键词：Big data,kNN,ELM,Label matrix,Correctness matrix,Tree
论文评审过程：Received 4 December 2019, Revised 21 May 2021, Accepted 25 May 2021, Available online 29 May 2021, Version of Record 11 June 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115293
