SimUSF: an efficient and effective similarity measure that is invariant to violations of the interval scale assumption

DOI10.1007/s10618-016-0463-0zbMath1416.62335DBLPjournals/datamine/FernandoW17OpenAlexW2368334247WikidataQ62833496 ScholiaQ62833496MaRDI QIDQ1741299

Geoffrey I. Webb, Thilak L. Fernando

Publication date: 3 May 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-016-0463-0

zbMATH Keywords

clusteringsimilarity measureinterval scaleCBMIR

Mathematics Subject Classification ID

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

Related Items (1)

A comparative study of data-dependent approaches without learning in measuring similarities of data objects

Uses Software

• UCI-ml

Cites Work

• Data mining. Concepts and techniques
• Summarizing a set of time series by averaging: from Steiner sequence to compact multiple alignment
• Similarity search. The metric space approach.
• On the Theory of Scales of Measurement
• Introduction to Information Retrieval
• Random forests

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