A MapReduce-based improvement algorithm for DBSCAN

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Data mining is playing a vital role in various application fields. One important issue in data mining is clustering, which is a process of grouping data with high similarity. Density-based clustering is an effective method that can find clusters in arbitrary shapes in feature space, and DBSCAN (Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise) is a basic on...

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ژورنال

عنوان ژورنال: Journal of Algorithms & Computational Technology

سال: 2017

ISSN: 1748-3018,1748-3026

DOI: 10.1177/1748301817735665