Quick-R: Cluster AnalysisR offers a wide range of functions for cluster analysis, including hierarchical agglomerative, partitioning, and model-based approaches. Although there is no definitive solution for determining the optimal number of clusters to extract, several approaches are available. Data Preparation Prior to clustering data, you may want to remove or estimate missing data and rescale variables for comparabilit
