@article{(Open Science Index):https://publications.waset.org/pdf/1717,
	  title     = {Using Data Clustering in Oral Medicine},
	  author    = {Fahad Shahbaz Khan and  Rao Muhammad Anwer and  Olof Torgersson},
	  country	= {},
	  institution	= {},
	  abstract     = {The vast amount of information hidden in huge
databases has created tremendous interests in the field of data
mining. This paper examines the possibility of using data clustering
techniques in oral medicine to identify functional relationships
between different attributes and classification of similar patient
examinations. Commonly used data clustering algorithms have been
reviewed and as a result several interesting results have been
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {2},
	  number    = {1},
	  year      = {2008},
	  pages     = {119 - 123},
	  ee        = {https://publications.waset.org/pdf/1717},
	  url   	= {https://publications.waset.org/vol/13},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 13, 2008},