A robustness metric for biological data clustering algorithms
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DOI: 10.1186/s12859-019-3089-6
Abstract: Cluster analysis is a core task in modern data-centric computation. Algorithmic choice is driven by factors such as data size and heterogeneity, the similarity measures employed, and the type of clusters sought. Familiarity and mere… read more here.
Keywords: robustness metric; metric biological; clustering algorithms; data clustering ... See more keywords