TESTING FOR REVEALING OF DATA STRUCTURE BASED ON THE HYBRID APPROACH

Volodymyr Mosorov

w.mosorow@kis.p.lodz.pl
Lodz 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 revealing

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Published
2017-06-30

Cited by

Mosorov, V. ., Panskyi, T. ., & Biedron, S. . (2017). TESTING FOR REVEALING OF DATA STRUCTURE BASED ON THE HYBRID APPROACH. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 7(2), 119–122. https://doi.org/10.5604/01.3001.0010.4853

Authors

Volodymyr Mosorov 
w.mosorow@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Taras Panskyi 

Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Sebastian Biedron 

Lodz University of Technology, Institute of Applied Computer Science Poland

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