HIGHLIGHTS
- who: Cyril Esnault from the University of Edinburgh, United Kingdom have published the research work: Qluster: An easy-to-implement generic workflow for robust clustering of health data, in the Journal: (JOURNAL)
- what: The aims to produce several partitioning results so that the user can select those that are most useful. In any case, if the primary objective is to provide fine-grained knowledge of the study population, it will still be possible to provide results with the optimal K that was initially obtained, keeping in mind that the levels of inter-cluster separability and . . .
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