cluster.Description     Descriptive statistics calculated separately
                        for each cluster and variable
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
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.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
index.DB                Calculates Davies-Bouldin's internal
                        cluster quality index
initial.Centers         Calculation of initial clusters centers for
                        k-means like alghoritms
replication.Mod         Modification of replication analysis for
                        cluster validation
cluster.Gen				Random cluster generation with known structure of clusters
plotNominal				hplot
plotNominal3D			hplot
plotIntervals			hplot
dist.Symbolic			distance on symbolic data