Discover our new article “Qluster” referring to a generic and robust method of clustering health data.
Already applied on many projects, this method allows to generate a relevant segmentation of your health data with robust and referenced methods, while ensuring an interpretability of the results. Guidelines are also provided in order to make the most relevant decisions for the needs of the analysis.
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The article “Qluster: An easy-to-implement generic workflow for robust clustering of health data” was written in collaboration with Cyril Esnault, Mélissa Rollot, Pauline Guilmin and Jean-Daniel Zucker.
