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-In this paper , the k-mean clustering analysis method is used to classify some of the factories for mineral waters in the Kurdistan Region -Iraq, according to some specifications on the cover of the bottle, such as (Ph, Cl, No3), and then compare these some specifications with international standard specifications , in other words " discuss the following question : Are these some specification on the cover of the bottle are identical with the international standard specifications or not?," and after data were collected according to the some specifications on the cover of a bottle and then organized and tabulation and analyzed using statistical package for social science (SPSS) program and apply the method of k-mean clustering analysis , we obtain two types of clusters, the first type of clusters includes the following mineral waters factories (Life, Massafi, Jin, Tiyan, Lolav, Kani-Erbil, Chiaa, Rawan, Kani-Sul, Zhian, Mira, Lava) and the second type of clusters includes the following mineral waters factories (Mazi, Rovian, Hayat, Ala, Shireen, Alhayat).The arithmetic mean for each of the specifications (Ph, Cl, No3) of the first type of clusters calculated and compare the mean of the specifications with the international standard specifications, the result show that, the first types of mineral waters factories are identical to the international standard specifications, in the same way the arithmetic mean of the second type of cluster are calculated and compare the mean of the specifications with the international standards specification, the results show that the second types of mineral waters factories are also identical to the standard classification of the world.
Mohammad M. Faqe Hussain (Wed,) studied this question.