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Conference Paper (international conference)

Recursive Clustering Hematological Data Using Mixture of Exponential Components

Suzdaleva Evgenia, Nagy Ivan, Petrouš Matej

: Proceedings of International Conference on Intelligent Informatics and BioMedical Sciences ICIIBMS 2017, p. 63-70

: International Conference on Intelligent Informatics and BioMedical Sciences ICIIBMS 2017, (Okinawa, JP, 20171124)

: GA15-03564S, GA ČR

: mixture-based clustering, recursive mixture estimation, exponential components

: 10.1109/ICIIBMS.2017.8279700

: http://library.utia.cas.cz/separaty/2017/ZS/suzdaleva-0482566.pdf

(eng): The paper deals with the mixture-based clustering of anonymized data of patients with leukemia. The presented clustering algorithm is based on the recursive Bayesian mixture estimation for the case of exponential components and the data-dependent dynamic pointer model. The main contribution of the paper is the online performance of clustering, which allows us to actualize the statistics of components and the pointer model with each new measurement. Results of the application of the algorithm to the clustering of hematological data are demonstrated and compared with theoretical counterparts.\n

: BB

: 10103

07.01.2019 - 08:39