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KNN-BLOCK DBSCAN: Fast Clustering for Large-Scale Data

Published in IEEE Transactions on Systems Man and Cybernetics Systems • Dec 18, 2019
Authors:
Yewang Chen
,
Lida Zhou
,
Songwen Pei

Abstract

Large-scale data clustering is an essential key for big data problem. However, no current existing approach is “optimal” for big data due to high complexity, which remains it a great challenge. In this article, a simple but fast approximate DBSCAN, namely, KNN-BLOCK DBSCAN, is proposed based on two ...

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