Equi-Clustream: a framework for clustering time evolving mixed data

DOI10.1007/S11634-018-0316-3zbMath1416.62358OpenAlexW2789021153MaRDI QIDQ1630853

Hari Om, Ravi Sankar Sangam

Publication date: 5 December 2018

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-018-0316-3

zbMATH Keywords

clusteringdata miningdata streamstime-evolving data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

Equi-Clustream

Uses Software

• UCI-ml
• SpectralCAT
• k-means++
• StreamKM++
• AutoClass
• FlockStream

Cites Work

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• SpectralCAT: categorical spectral clustering of numerical and nominal data
• Categorical-and-numerical-attribute data clustering based on a unified similarity metric without knowing cluster number
• Rough sets
• Data Mining and Knowledge Discovery Handbook
• StreamKM++
• Scalable algorithms for clustering large datasets with mixed type attributes
• Data mining. Concepts and techniques

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