Fast Cluster Tendency Assessment for Big, High-Dimensional Data

DOI10.1007/978-3-030-54341-9_12OpenAlexW3097329929MaRDI QIDQ5861775

Punit Rathore, James C. Bezdek, Marimuthu Palaniswami

Publication date: 2 March 2022

Published in: Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-54341-9_12

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86) Statistical aspects of big data and data science (62R07)

Cites Work

• Scalable visual assessment of cluster tendency for large data sets
• Extensions of Lipschitz mappings into a Hilbert space
• StreamKM++
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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