Toward an Efficient Computation of Log-Likelihood Functions in Statistical Inference: Overdispersed Count Data Clustering

DOI10.1007/978-3-030-23876-6_8zbMath1434.62116OpenAlexW2967098356MaRDI QIDQ5110030

Masoud Daghyani, Nizar Bouguila, Nuha Zamzami

Publication date: 15 May 2020

Published in: Unsupervised and Semi-Supervised Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-23876-6_8

zbMATH Keywords

clusteringcount datamaximum likelihoodmixture modelsimage clusteringlog-likelihood functionsunsupervised learning algorithm

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric estimation (62G05) Image analysis in multivariate analysis (62H35) Applications of statistics in engineering and industry; control charts (62P30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• Cohn-Kanade
• DEseq
• SIFT
• COUNT

Cites Work

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