Research on the Parallelization of the DBSCAN Clustering Algorithm for Spatial Data Mining Based on the Spark Platform-Reference-Cited by-同舟云学术

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Research on the Parallelization of the DBSCAN Clustering Algorithm for Spatial Data Mining Based on the Spark Platform

Published:2017-12-12 Issue:12 Volume:9 Page:1301
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Huang Fang,Zhu Qiang,Zhou Ji,Tao Jian,Zhou Xiaocheng,Jin Du,Tan Xicheng,Wang Lizhe

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/9/12/1301/pdf

Reference53 articles.

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

2. TI-DBSCAN: Clustering with DBSCAN by Means of the Triangle Inequality;Kryszkiewicz,2010

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