MR-DBSCAN: a scalable MapReduce-based DBSCAN algorithm for heavily skewed data

Abstract

DBSCAN (density-based spatial clustering of applications with noise) is an important spatial clustering technique that is widely adopted in numerous applications. As the size of datasets is extremely large nowadays, parallel processing of complex data analysis such as DBSCAN becomes indispensable. However, there are three major drawbacks in the existing… (More)
DOI: 10.1007/s11704-013-3158-3

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