A Clustering Algorithm for Symbolic Interval Data Based on a Single Adaptive Hausdorff Distance

DOI10.1007/978-3-540-73560-1_4zbMATH Open1162.68603OpenAlexW185108668MaRDI QIDQ5302491

Francisco de A. T. de Carvalho

Publication date: 7 January 2009

Published in: Selected Contributions in Data Analysis and Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-73560-1_4

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Data structures (68P05)

Related Items (3)

Advances in Artificial Intelligence – SBIA 2004 ⋮ Clustering reduced interval data using Hausdorff distance ⋮ Partitional clustering algorithms for symbolic interval data based on single adaptive distances

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