EHC: Non-parametric Editing by Finding Homogeneous Clusters

DOI10.1007/978-3-319-04939-7_14zbMath1407.68412OpenAlexW2183164757MaRDI QIDQ5404961

Georgios Evangelidis, Stefanos Ougiaroglou

Publication date: 31 March 2014

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-04939-7_14

zbMATH Keywords

clustering\(k\)-NN classificationeditingnoisy items

Mathematics Subject Classification ID

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

Related Items (1)

Efficient editing and data abstraction by finding homogeneous clusters

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