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High quality clustering of big data and solving empty-clustering problem with an evolutionary hybrid algorithm
Achieving high quality clustering is one of the most well-known problems in data mining. k-means is by far the most commonly used clustering algorithm. It converges fairly quickly, but achieving a good solution is not ...