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Published in 2022 at "IEEE Access"
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…
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Keywords:
comparison means;
initialisation algorithms;
empirical comparison;
initialisation ... See more keywords