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Choosing An Optimal K in K-Means Clustering

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Choosing An Optimal K in K-Means Clustering

Object description

Cluster analysis has been one of the widely applied data mining techniques because of its usefulness in discovering the meaningful information such as the structures and patterns in datasets. Although there are hundreds of the methods in clustering arena, there is no any best algorithm that fits to all cases. Over a half century, K-means as the basic hard partitioning algorithm has probably been the most popular because of its lower execution time and simplicity to implement in big data analysis...

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Author(s) / Publisher

Zeynel Cebeci Figen Yıldız G. Tamer Kayaalp


Mathematics and Statistics, Computer and Library Sciences


data mining, clustering analysis, k-means clustering, objective selection of k

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This resource is licensed under the license(CC-BY-NC-ND) Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported

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