Linear discriminant analysis guided by unsupervised ensemble learning

DOI10.1016/j.ins.2018.12.036zbMath1443.68145OpenAlexW2906556482MaRDI QIDQ2004733

Xinwen Zhu, Tianrui Li, Ping Deng, Hongjun Wang, Shi-jinn Horng

Publication date: 7 October 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2018.12.036

zbMATH Keywords

clusterlinear discriminant analysisfuzzinesscluster ensembleunsupervised ensemble learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Enhanced clustering embedded in curvilinear distance analysis guided by pairwise constraints, Convolution-based linear discriminant analysis for functional data classification, Ensemble learning for remaining fatigue life prediction of structures with stochastic parameters: a data-driven approach

Uses Software

• apcluster
• APCluster

Cites Work

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• Clustering by Passing Messages Between Data Points
• A nonlinear approach to dimension reduction
• 10.1162/153244303321897735