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http://hdl.handle.net/20.500.12358/24904
TitleMULTI-DENSITY DBSCAN USING REPRESENTATIVES: MDBSCAN-UR.
Untitled
Abstract

DBSCAN is one of the most popular algorithms for cluster analysis. It can discover clusters with arbitrary shape and separate noises. But this algorithm cannot choose its parameter according to distributing of dataset. It simply uses the global uses minimum number of points (MinPts) parameter, so that the clustering result of multi-density database is inaccurate. In addition, when it is used to cluster large databases, it will cost too much time. For these problems, we propose MDBSCAN-UR algorithm which is based on spatial index and grid technique witch make the clustering using representatives points that capture the shape and extent of the cell that they chosen in and that in order to enhance the time complexity. In this paper, we apply an unsupervised machine learning approach based on DBSCAN algorithm. We use local MinPts for every cell in the grid to overcome the problem of undetermined the clusters in …

Authors
Ahmed, Rwand
Elzaza, Eman
Ashour, Wesam M.
TypeJournal Article
Date2011
Subjects
representative
clustering
dbscan
multi-density
Published inComputing & Information Systems
SeriesVolume: 15, Number: 2
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  • Staff Publications- Faculty of Engineering [908]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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