An extensive empirical comparison of k-means initialisation algorithms
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DOI: 10.1109/access.2022.3179803
Abstract: The k-means clustering algorithm, whilst widely popular, is not without its drawbacks. In this paper, we focus on the sensitivity of k-means to its initial set of centroids. Since the cluster recovery performance of k-means… read more here.
Keywords: comparison means; initialisation algorithms; empirical comparison; initialisation ... See more keywords