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Analyzing correlation coefficient using software metrics
Ujera, , V Ragavi,
Published in IEEE
2017
Volume: 2018-January
   
Pages: 1151 - 1153
Abstract
In this paper, we investigate three distinct strategies for processing similitudes for acquiring suggestion for them. There are various diverse scientific details that can be utilized to compute the connection coefficient between two things. On the premise of different parameters, we are going to find the preferable quality over others mainly between spearman and Pearson's correlation coefficient. © 2017 IEEE.
About the journal
JournalData powered by Typeset2017 International Conference on Trends in Electronics and Informatics (ICEI)
PublisherData powered by TypesetIEEE
Open Access0