Clustering rules: A comparison of partitioning and hierarchical clustering algorithms

DOI10.1007/s10852-005-9022-1zbMath1104.62073OpenAlexW1993046026WikidataQ104745192 ScholiaQ104745192MaRDI QIDQ864946

N. E. Zubov

Publication date: 13 February 2007

Published in: JMMA. Journal of Mathematical Modelling and Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10852-005-9022-1

zbMATH Keywords

confidencegenetic algorithmssilhouettescoverageCLARANS

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (10)

Clustering of patients' trajectories with an auto-stopped bisecting K-Medoids algorithm ⋮ Clustering analysis of multivariate data: a weighted spatial ranks-based approach ⋮ Optimising sum-of-squares measures for clustering multisets defined over a metric space ⋮ A clustering-based feature selection method for automatically generated relational attributes ⋮ Evaluation of driving risk at different speeds ⋮ Correlation between graphs with an application to brain network analysis ⋮ Using multiple time series analysis for geosensor data forecasting ⋮ Model-based clustering for populations of networks ⋮ Selection of the Regularization Parameter in Graphical Models Using Network Characteristics ⋮ Superheat: An R Package for Creating Beautiful and Extendable Heatmaps for Visualizing Complex Data

Uses Software

• UCI-ml
• MOCK
• clusfind

Cites Work

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• Metric and Euclidean properties of dissimilarity coefficients
• Finding Groups in Data
• Evolutionary Multi-Criterion Optimization
• Evolutionary Multi-Criterion Optimization

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