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Fuzzy Clustering of Lecture Videos Based on Topic

العنقدة الضبابية للفيديوهات بالاعتماد على نمذجة المواضيع

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 Publication date 2019
and research's language is العربية
 Created by Waseem Kntar




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References used
Basu, Yi Yu, Zimmermann, “Fuzzy Clustering of Lecture Videos Based on Topic Modeling”, IEEE.
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In this paper, we introduce a modification to fuzzy mountain data clustering algorithm. We were able to make this algorithm working automatically, through finding a way to divide the space, to determine the values of the input parameters, and the stop condition automatically, instead of getting them by the user.
In this paper, we introduce a modification to fuzzy mountain data clustering algorithm. We were able to make this algorithm working automatically, through finding a way to divide the space, to determine the values of the input parameters, and the stop condition automatically, instead of getting them by the user.
choose the right way to dividing set of data with high dimensions to clusters in specific field and comparison the different subspace clustering algorithms and present the applications and usage
The objective of this studying is the important answer on the following open question : Let G and G' be two fuzzy groups and L(G), L(G') be lattices for them, respectively, We have shown that this statement don’t true in the case general, and we sup pose some certain conditions on the purposed groups to be the statement holds. Moreover, some important theorems are proved

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