Optimal landmark point selection using clustering for manifold modeling and data classification

DOI10.1007/S00357-018-9285-7zbMath1433.62164OpenAlexW2911138092WikidataQ128615490 ScholiaQ128615490MaRDI QIDQ2283317

Manazhy Rashmi, Praveen Sankaran

Publication date: 30 December 2019

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-018-9285-7

zbMATH Keywords

manifoldsclusteringfeature extractiongeodesicMDSFisher's linear discrimant analysislandmark isomap

Mathematics Subject Classification ID

Statistics on manifolds (62R30) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Statistical aspects of big data and data science (62R07)

Uses Software

• COIL-20

Cites Work

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• Initializing \(K\)-means batch clustering: A critical evaluation of several techniques
• 10.1162/153244304322972667
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

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