A multi-block clustering algorithm for high dimensional binarized sparse data
作者：
Highlights：
• Multiblock clustering algorithm generates overlapping clusters along clusters of dimensions.
• Generalized parsimonious binary vector-based representation for higher-dimensions.
• The proposed algorithms are demonstrated via an open multidimensional dataset.
摘要
•Multiblock clustering algorithm generates overlapping clusters along clusters of dimensions.•Generalized parsimonious binary vector-based representation for higher-dimensions.•The proposed algorithms are demonstrated via an open multidimensional dataset.
论文关键词：Multidimensional clustering,High dimensional data,Ranking,Higher educational institutes
论文评审过程：Received 12 December 2020, Revised 25 June 2021, Accepted 9 November 2021, Available online 20 November 2021, Version of Record 30 November 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116219
