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
initial.Centers         Calculation of initial clusters centers for
                        k-means like alghoritms
replication.Mod         Modification of replication analysis for
                        cluster validation
