Investigation of the optimal number of clusters by the adaptive EM algorithm

DOI10.17535/crorr.2019.0001zbMath1469.62289OpenAlexW2954405790WikidataQ127558781 ScholiaQ127558781MaRDI QIDQ5147597

Vedran Novoselac

Publication date: 27 January 2021

Published in: Croatian Operational Research Review (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.17535/crorr.2019.0001

zbMATH Keywords

EM algorithmclusteringGaussian mixtureMahalanobis distancechi-square

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Cites Work

• On the convergence properties of the EM algorithm
• Multiple ellipse fitting by center-based clustering
• Cluster Detection in the Noisy Environment by Using the Modified EM Algorithm
• Data Clustering: Theory, Algorithms, and Applications
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