Pros and Cons of Clustering algorithms using Weka Tools

Clustering is a process of partitioning a set of data (or objects) into a set of meaningful sub-classes, called clusters. This paper analyzes three major clustering algorithms: K-Means, Hierarchical clustering and Density based clustering. The performance of these three clustering algorithms is compared using the clustering toolkit Weka. Refer ences Usama Fayyad, Gregory Piatetsky-Shapiro, and Padhraic Smyth From Data Mining to Knowledge Discovery in Databases.