cluster.Description Descriptive statistics calculated separately for each cluster and variable cluster.Gen Random cluster generation with known structure of clusters cluster.Sim Determination of optimal clustering procedure for a data set data.Normalization Types of variable normalization formulas data_binary Binary data data_interval Interval data data_mixed Mixed data data_nominal Nominal data data_ordinal Ordinal data data_ratio Ratio data data_symbolic Symbolic interval data dist.BC Calculates Bray-Curtis distance measure for ratio data dist.GDM Calculates Generalized Distance Measure dist.SM Calculates Sokal-Michener distance measure for nominal variables dist.Symbolic Calculates distance between symbolic interval-valued data HINoV.Mod Modification of Carmone, Kara & Maxwell Heuristic Identification of Noisy Variables (HINoV) method HINoV.Symbolic Modification of Carmone, Kara & Maxwell Heuristic Identification of Noisy Variables (HINoV) method for symbolic interval data index.DB Calculates Davies-Bouldin's index index.G1 Calculates Calinski-Harabasz pseudo F-statistic index.G2 Calculates G2 internal cluster quality index index.G3 Calculates G3 internal cluster quality index index.Gap Calculates Tibshirani, Walther and Hastie gap index index.H Calculates Hartigan index index.KL Calculates Krzanowski-Lai index index.S Calculates Rousseeuw's Silhouette internal cluster quality index initial.Centers Calculation of initial clusters centers for k-means like alghoritms plotCategorial Plot categorial data on a scatterplot matrix plotCategorial3d Plot categorial data with three-dimensional plots plotInterval Plot symbolic interval-valued data on a scatterplot matrix replication.Mod Modification of replication analysis for cluster validation