Article

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

2023-09-06

Abstract excerpt

We propose X-DEC, a novel deep clustering technique that can integrate 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. Nevertheless, DEC cannot adequately handle mixed datatypes. Therefore, we created X-DEC by replacing the autoencoder with an X-shaped variation...

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Literature Corpus work: 81ed6f73-9aa8-58b4-a54a-d3c458f0b332
DOI: 10.21203/rs.3.rs-3262686/v1

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