TESTING FOR REVEALING OF DATA STRUCTURE BASED ON THE HYBRID APPROACH

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.

Authors and Affiliations

Volodymyr Mosorov, Taras Panskyi, Sebastian Biedron

Keywords

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  • EP ID EP223487
  • DOI 10.5604/01.3001.0010.4853
  • Views 88
  • Downloads 0

How To Cite

Volodymyr Mosorov, Taras Panskyi, Sebastian Biedron (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://europub.co.uk/articles/-A-223487