Subpopulation discovery in epidemiological data with subspace clustering

DOI10.2478/FCDS-2014-0015zbMath1334.62194OpenAlexW2075965305MaRDI QIDQ275604

Henry Völzke, Jens-Peter Kühn, Myra Spiliopoulou, Uli Niemann

Publication date: 26 April 2016

Published in: Foundations of Computing and Decision Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/fcds-2014-0015

Mathematics Subject Classification ID

Epidemiology (92D30) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15)

Cites Work

• Unnamed Item
• A survey on enhanced subspace clustering
• Data mining. Concepts and techniques

This page was built for publication: Subpopulation discovery in epidemiological data with subspace clustering