The paper discusses an essential data mining task, clustering. Clustering groups similar instances and results in classes of similar instances. In this paper, clustering methods k-means, SOM clustering, and hierarchical method of clustering are discussed and implemented in R. Before the application of clustering algorithms cluster tendency is evaluated to determine whether the data set is appropriate for clustering or not. Cluster tendency is also discussed in the paper.
CITATION STYLE
Narang, T. (2017). Finding clusters of data: Cluster analysis in R. In Advances in Intelligent Systems and Computing (Vol. 515, pp. 635–640). Springer Verlag. https://doi.org/10.1007/978-981-10-3153-3_63
Mendeley helps you to discover research relevant for your work.