Unsupervised learning of arbitrarily shaped clusters using ensembles of Gaussian models

DOI10.1007/S10044-005-0240-YzbMath1422.68205OpenAlexW2029798397MaRDI QIDQ851714

Hichem Frigui

Publication date: 22 November 2006

Published in: PAA. Pattern Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10044-005-0240-y

zbMATH Keywords

synchronizationGaussian mixture modelsrobust clusteringimage database categorization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• clusfind
• COIL-20

Cites Work

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• Self-organization and associative memory
• Chemical oscillations, waves, and turbulence
• Global competition and local cooperation in a network of neural oscillators
• Symmetry and phase-locking in a ring of pulse-coupled oscillators with distributed delays
• Cure: An efficient clustering algorithm for large databases
• Local lateral inhibition: A key to spike synchronization?
• Synchronization of Pulse-Coupled Biological Oscillators
• Finding Groups in Data
• Integrate-and-Fire Models of Nerve Membrane Response to Oscillatory Input

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