Boosting k-means clustering with symbiotic organisms search for automatic clustering problems
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DOI: 10.1371/journal.pone.0272861
Abstract: Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to partition the given dataset into k pre-defined distinct non-overlapping clusters where each data point belongs to only one group. However, its performance is… read more here.
Keywords: organisms search; boosting means; symbiotic organisms; automatic clustering ... See more keywords