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	STUDIA INFORMATICA - Issue no. 2 / 2006

	Article:	A STUDY ON DISTANCE METRICS FOR PARTITIONING BASED ASPECT MINING. Authors: GRIGORETA SOFIA MOLDOVAN, GABRIELA ŞERBAN.


	Abstract: The aim of this paper is to make a study on the influence of distance metrics for partitioning based aspect mining. For this purpose, we comparatively present, from the aspect mining point of view, the results of three algorithms in Aspect Mining, kAM ([3]), HAM ([6]) and GAAM ([5]), for diferent distance metrics. The evaluation is based on a set of quality measure that we have previously defined in [1] and [2], and a case study is also reported. We introduce three diferent criteria on which our study is based.




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