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A Survey of Clustering Algorithms in Association Rules Mining


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1 Applied Science Department, Ajloun University College, Balqa Applied University, Jordan
 

The main goal of cluster analysis is to classify elements into groupsbased on their similarity. Clustering has many applications such as astronomy, bioinformatics, bibliography, and pattern recognition. In this paper, a survey of clustering methods and techniques and identification of advantages and disadvantages of these methods are presented to give a solid background to choose the best method to extract strong association rules.
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  • A Survey of Clustering Algorithms in Association Rules Mining

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Authors

Wael Ahmad AlZoubi
Applied Science Department, Ajloun University College, Balqa Applied University, Jordan

Abstract


The main goal of cluster analysis is to classify elements into groupsbased on their similarity. Clustering has many applications such as astronomy, bioinformatics, bibliography, and pattern recognition. In this paper, a survey of clustering methods and techniques and identification of advantages and disadvantages of these methods are presented to give a solid background to choose the best method to extract strong association rules.

References