International forum of researchers Students and Academician
Clustering can be used for data mining, information retrieval, text mining, web analysis and marketing etc. There are various Clustering algorithms but the authors have implemented three algorithms (K-means, DBScan and K-medoids) in RapidMiner. In data mining, Clustering can be considered as the most unsupervised learning techniques. Clustering is a process of grouping a set of physical (or abstract) objects into class whose members are similar in some way. A cluster is therefore a collection of objects which are similar between them and are dissimilar to the object belonging to other cluster. In this paper, the implementation of clustering algorithms in RapidMiner is discussed.