@article{(Open Science Index):https://publications.waset.org/pdf/5572,
	  title     = {A Distributed Algorithm for Intrinsic Cluster Detection over Large Spatial Data},
	  author    = {Sauravjyoti Sarmah and  Rosy Das and  Dhruba Kr. Bhattacharyya},
	  country	= {},
	  institution	= {},
	  abstract     = {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.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {9},
	  year      = {2008},
	  pages     = {3126 - 3136},
	  ee        = {https://publications.waset.org/pdf/5572},
	  url   	= {https://publications.waset.org/vol/21},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 21, 2008},
	}