A distributed algorithm for the cluster-based outlier detection using unsupervised extreme learning machines

DOI10.1155/2017/2649535zbMath1426.62190OpenAlexW2605048794WikidataQ59147419 ScholiaQ59147419MaRDI QIDQ1992535

Tiezheng Nie, Yue Kou, Derong Shen, Ge Yu, Mei Bai, Xite Wang

Publication date: 5 November 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/2649535

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Parametric hypothesis testing (62F03) Learning and adaptive systems in artificial intelligence (68T05) Distributed algorithms (68W15)

Uses Software

• LOF
• Orca

Cites Work

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• Support-vector networks
• Learning Deep Architectures for AI
• Discovering cluster-based local outliers
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

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