A hybrid EM approach to spatial clustering

DOI10.1016/j.csda.2004.12.005zbMath1431.62262OpenAlexW2062127890MaRDI QIDQ959220

Tianming Hu, Sam Yuan Sung

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.12.005

zbMATH Keywords

Gaussian mixtureexpectation-maximization algorithmspatial clusteringspatial penalty term

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10)

Related Items (3)

Spatial data compression via adaptive dispersion clustering ⋮ Editorial: Advances in mixture models ⋮ A fuzzy clustering model for multivariate spatial time series

Uses Software

• UCI-ml
• Econometrics Toolbox
• clusfind

Cites Work

• Another interpretation of the EM algorithm for mixture distributions
• On the Harrison and Rubinfeld data
• A classification EM algorithm for clustering and two stochastic versions
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Finding Groups in Data
• On Information and Sufficiency
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