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The traditional H-K clustering algorithm can solve the randomness and apriority of the initial centers of K-means clustering algorithm. However, it will lead to a dimensional disaster problem when apply to high dimensional dataset clustering due to its high computational complexity. Clustering ensemble exerts ensemble learning technique to get a better clustering result through learning merged data...
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