Cluster identification via persistent homology and other clustering techniques, with application to liver transplant data

DOI10.1007/978-3-319-89593-2_9zbMath1405.62086OpenAlexW2887690685MaRDI QIDQ1713440

Giseon Heo, Axel Andres, Norman Kneteman, Russell Greiner, Berhanu A. Wubie, Aldo Montano-Loza, Bret Hoehn

Publication date: 25 January 2019

Full work available at URL: https://doi.org/10.1007/978-3-319-89593-2_9

zbMATH Keywords

homologyrandom survival forestcluster identificationpredicting survival times

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

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