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A Clustering Based Study of Classification Algorithms
Muhammad Husnain Zafar,Muhammad Ilyas 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.1
A grouping of data objects such that the objects within a group are similar (or related) to one another and different from (or unrelated to) the objects in other groups. Many of clustering algorithm is available to analyze data. This paper intends to study and compare different clustering algorithms. These algorithms include K-Means, Farthest First, DBSCAN, CURE, Chameleon algorithm. All these algorithms are compared on the basis of their pros and cons, similarity measure, their working, functionality and time complexity.