Clustgrams: an extension to histogram densities based on the minimum description length principle

DOI10.2478/s13537-011-0033-xzbMath1254.62043OpenAlexW2148415743MaRDI QIDQ692998

Petri Kontkanen, Panu Luosto

Publication date: 6 December 2012

Published in: Central European Journal of Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/s13537-011-0033-x

zbMATH Keywords

clusteringdensity estimationhistogramsMDL principle

Mathematics Subject Classification ID

Cites Work

• A universal prior for integers and estimation by minimum description length
• Modeling by shortest data description
• A linear-time algorithm for computing the multinomial stochastic complexity
• Density estimation by stochastic complexity
• Fisher information and stochastic complexity
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