@article{(Open Science Index):https://publications.waset.org/pdf/10002625,
	  title     = {Hierarchical Clustering Algorithms in Data Mining},
	  author    = {Z. Abdullah and  A. R. Hamdan},
	  country	= {},
	  institution	= {},
	  abstract     = {Clustering is a process of grouping objects and data
into groups of clusters to ensure that data objects from the same
cluster are identical to each other. Clustering algorithms in one of the
area in data mining and it can be classified into partition, hierarchical,
density based and grid based. Therefore, in this paper we do survey
and review four major hierarchical clustering algorithms called
CURE, ROCK, CHAMELEON and BIRCH. The obtained state of
the art of these algorithms will help in eliminating the current
problems as well as deriving more robust and scalable algorithms for
clustering.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {9},
	  number    = {10},
	  year      = {2015},
	  pages     = {2194 - 2199},
	  ee        = {https://publications.waset.org/pdf/10002625},
	  url   	= {https://publications.waset.org/vol/106},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 106, 2015},
	}