TrAgLor - Turkish Agricultural Learning Objects Repository

Object Summary

Choosing An Optimal K in K-Means Clustering

Title of object

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...

Language of object

Turkish

Author(s) / Publisher

Zeynel Cebeci Figen Yıldız G. Tamer Kayaalp

Discipline(s)

Mathematics and Statistics, Computer and Library Sciences

Keywords

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

Technical format

Text

Intended end-user role

Other

Learning resource type

Proceedings

Typical age range

18Ü

Copyright - Restrictions

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

Cost with use

No

Source code available

No


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