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Determination of Optimal Epsilon (Eps) Value on DBSCAN Algorithm to Clustering Data on Peatland Hotspots in Sumatra

IOP conference series. Earth and environmental science, 2016-01, Vol.31 (1), p.12012-12015 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2016. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1755-1307 ;EISSN: 1755-1315 ;DOI: 10.1088/1755-1315/31/1/012012

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  • Title:
    Determination of Optimal Epsilon (Eps) Value on DBSCAN Algorithm to Clustering Data on Peatland Hotspots in Sumatra
  • Author: Rahmah, Nadia ; Sitanggang, Imas Sukaesih
  • Subjects: Algorithms ; Clustering ; Clusters ; Density ; EPS ; Hot spots ; Optimization ; Outliers (statistics) ; Peatlands
  • Is Part Of: IOP conference series. Earth and environmental science, 2016-01, Vol.31 (1), p.12012-12015
  • Description: In this work we determine the optimal epsilon value on peatland on DBSCAN Algorithm to clustering data on peatland hotspots in sumatera. DBSCAN is a base algorithm for density based data clustering which contain noise and outliers. We found using this method that the area which has the highest density of hotspots in Sumatra in 2013 peatland is contained in cluster 1 of Riau Province that is equal to 2112 hotspots.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1755-1307
    EISSN: 1755-1315
    DOI: 10.1088/1755-1315/31/1/012012
  • Source: Open Access: IOP Publishing Free Content
    AUTh Library subscriptions: ProQuest Central
    IOPscience (Open Access)
    Alma/SFX Local Collection
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