Discriminative clustering via extreme learning machine

DOI10.1016/j.neunet.2015.06.002zbMath1394.68292OpenAlexW792551570WikidataQ40768572 ScholiaQ40768572MaRDI QIDQ1669156

Zhiping Lin, Gao Huang, Tianchi Liu, Yan Yang, Cheng Wu, Shi-ji Song

Publication date: 30 August 2018

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2015.06.002

zbMATH Keywords

\(k\)-meanslinear discriminant analysisextreme learning machinediscriminative clustering

Mathematics Subject Classification ID

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

Related Items

Noise-insensitive discriminative subspace fuzzy clustering, A survey of neighborhood construction algorithms for clustering and classifying data points

Uses Software

• UCI-ml
• AS 136
• PRMLT

Cites Work

• Algorithm AS 136: A K-Means Clustering Algorithm
• Trends in extreme learning machines: a review
• A comparative analysis of support vector machines and extreme learning machines
• Learning representations by back-propagating errors
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