Call for Papers 2020

Oct 2020 - Volume 11, Issue 5
Deadline: 15 Sep 2020
Notification: 15 Oct 2020
Publication: 31 Oct 2020

Dec 2020 - Volume 11, Issue 6
Deadline: 15 Nov 2020
Notification: 15 Dec 2020
Publication: 31 Dec 2020


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Title : An Analysis on Density Based Clustering of Multi Dimensional Spatial Data
Authors : K. Mumtaz, Dr. K. Duraiswamy
Keywords : Clustering, DBSCAN, k-means, SOM.
Issue Date : June 2010
Abstract :
Mining knowledge from large amounts of spatial data is known as spatial data mining. It becomes a highly demanding field because huge amounts of spatial data have been collected in various applications ranging from geo-spatial data to bio-medical knowledge. The amount of spatial data being collected is increasing exponentially. So, it far exceeded human’s ability to analyze. Recently, clustering has been recognized as a primary data mining method for knowledge discovery in spatial database. The development of clustering algorithms has received a lot of attention in the last few years and new clustering algorithms are proposed. DBSCAN is a pioneer density based clustering algorithm. It can find out the clusters of different shapes and sizes from the large amount of data containing noise and outliers. This paper shows the results of analyzing the properties of density based clustering characteristics of three clustering algorithms namely DBSCAN, k-means and SOM using synthetic two dimensional spatial data sets.
Page(s) : 8-12
ISSN : 0976-5166
Source : Vol. 1, No.1