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Clustering is one of the most important task in data mining. But for big data application, clustering models are faced with the problem of high complexity for low respond time requirement. This paper focuses on velocity criterion of big data modeling, presents a developed k-means algorithm, k-means+, which effectively reduces time costs of clustering modeling through block operation and redesigning...
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