Deep embedded clustering generalisability and adaptation for integrating mixed datatypes: two critical care cohorts

Abstract We validated a Deep Embedded Clustering (DEC) model and its adaptation for integrating mixed datatypes (in this study, numerical and categorical variables). Deep Embedded Clustering (DEC) is a promising technique capable of managing extensive sets of variables and non-linear relationships....

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