Turbid of Water By Using Fuzzy C- Means and Hard K- Means
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Published:
Sep 8, 2020
Keywords:
Clustering, Turbid water, Fuzzy C Means algorithm, Hard K Means algorithm.
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Abstract
In this research two algorithms are applied, the first is Fuzzy C Means (FCM) algorithm and the second is hard K means (HKM) algorithm to know which of them is better than the others these two algorithms are applied on a set of data collected from the Ministry of Planning on the water turbidity of five areas in Baghdad to know which of these areas are less turbid in clear water to see which months during the year are less turbid in clear water in the specified area.
Received 30/5/2019, Accepted 20/1/2020, Published 8/9/2020
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How to Cite
1.
Turbid of Water By Using Fuzzy C- Means and Hard K- Means. Baghdad Sci.J [Internet]. 2020 Sep. 8 [cited 2024 Dec. 19];17(3(Suppl.):0988. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3474
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How to Cite
1.
Turbid of Water By Using Fuzzy C- Means and Hard K- Means. Baghdad Sci.J [Internet]. 2020 Sep. 8 [cited 2024 Dec. 19];17(3(Suppl.):0988. Available from: https://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/3474
