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- W2121868107 abstract "Purpose: The aim of this study was to explore a way in which continuous-valued and categorical features can be treated simultaneously in multiple correspondence analysis for the solution of a particular medical problem. Material and methods: The exploratory analysis of medical data from Belarussian Research Center for Pediatric Oncology and Hematology (BRCPOH) was performed using the developed combined method, consisted of prior continuous-valued data discretization with subsequent correspondence analysis of frequency tables. Results: The developed method allows to perform supervised discretization of continues features and significantly decreases the number of its values, to treat continuous-valued and categorical features simultaneously in multiple correspondence analysis, to analyze the quality of discretization of continuous-valued features. Conclusions: The proposed combined method of exploratory data analysis allows discovering interactions between the different features of any initial type." @default.
- W2121868107 created "2016-06-24" @default.
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- W2121868107 date "2005-01-01" @default.
- W2121868107 modified "2023-09-27" @default.
- W2121868107 title "Uncover the relations between the discretized continuous-valued features with multiple correspondence analysis in medical domain" @default.
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