TESTING FOR REVEALING OF DATA STRUCTURE BASED ON THE HYBRID APPROACH
Volodymyr Mosorov
w.mosorow@kis.p.lodz.plLodz University of Technology, Institute of Applied Computer Science (Poland)
Taras Panskyi
Lodz University of Technology, Institute of Applied Computer Science (Poland)
Sebastian Biedron
Lodz University of Technology, Institute of Applied Computer Science (Poland)
Abstract
In this paper testing for revealing data structure based on a hybrid approach has been presented. The hybrid approach used during the testing suggests defining a pre-clustering hypothesis, defining a pre-clustering statistic and assuming the homogeneity of the data under pre-defined hypothesis, applying the same clustering procedure for a data set of interest, and comparing results obtained under the pre-clustering statistic with the results from the data set of interest. The pros and cons of the hybrid approach have been also considered.
Keywords:
pre-clustering hypothesis, data group structure testing, group structure revealingReferences
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Authors
Volodymyr Mosorovw.mosorow@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science Poland
Authors
Taras PanskyiLodz University of Technology, Institute of Applied Computer Science Poland
Authors
Sebastian BiedronLodz University of Technology, Institute of Applied Computer Science Poland
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