PGMCLU: A novel parallel grid-based clustering algorithm for multi-density datasets

Abstract

Clustering is one of the basic data mining tasks. Clustering high-dimensional and massive data points is a particularly important task in cluster analysis. But some existing clustering algorithms are merely suitable for small and medium sized datasets. Meanwhile, clustering multi-density datasets is also a very difficult task for some clustering methods. In… (More)

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