%0 Journal Article
	%A Sauravjyoti Sarmah and  Rosy Das and  Dhruba Kr. Bhattacharyya
	%D 2008
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 21, 2008
	%T A Distributed Algorithm for Intrinsic Cluster Detection over Large Spatial Data
	%U https://publications.waset.org/pdf/5572
	%V 21
	%X Clustering algorithms help to understand the hidden
information present in datasets. A dataset may contain intrinsic and
nested clusters, the detection of which is of utmost importance. This
paper presents a Distributed Grid-based Density Clustering algorithm
capable of identifying arbitrary shaped embedded clusters as well as
multi-density clusters over large spatial datasets. For handling
massive datasets, we implemented our method using a 'sharednothing'
architecture where multiple computers are interconnected
over a network. Experimental results are reported to establish the
superiority of the technique in terms of scale-up, speedup as well as
cluster quality.
	%P 3126 - 3136