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
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
comparing.Partitions    Calculate agreement indices between two
                        partitions
data.Normalization      Types of variable (column) and object (row)
                        normalization formulas
data_binary             Binary data
data_interval           Interval data
data_mixed              Mixed data
data_nominal            Nominal data
data_ordinal            Ordinal data
data_patternGDM1        Metric data with 17 objects and 10 variables (8
                        stimulant variables, 2 destimulant variables)
data_patternGDM2        Ordinal data with 27 objects and 6 variables (3
                        stimulant variables, 2 destimulant variables
                        and 1 nominant variable)
data_ratio              Ratio data
data_symbolic           Symbolic interval data
data_symbolic_interval_polish_voivodships
                        The evaluation of Polish voivodships tourism
                        attractiveness level
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 interval-valued
                        symbolic data
index.C                 Calculates Hubert & Levin C index - internal
                        cluster quality index
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
interval_normalization
                        Types of normalization formulas for
                        interval-valued symbolic variables
ordinalToMetric         Reinforcing measurement scale for ordinal data
pattern.GDM1            An application of GDM1 distance for metric data
                        to compute the distances of objects from the
                        pattern object (upper or lower)
pattern.GDM2            An application of GDM2 distance for ordinal
                        data to compute the distances of objects from
                        the pattern object (upper or lower)
plotCategorial          Plot categorial data on a scatterplot matrix
plotInterval            Plot symbolic interval-valued data on a
                        scatterplot matrix
replication.Mod         Modification of replication analysis for
                        cluster validation
shapes.blocks3d         Generation of data set containing two clusters
                        with untypical shapes (cube divided into two
                        parts by main diagonal plane)
shapes.circles2         Generation of data set containing two clusters
                        with untypical ring shapes (circles)
shapes.circles3         Generation of data set containing three
                        clusters with untypical ring shapes (circles)
shapes.two.moon         Generation of data set containing two clusters
                        with untypical shapes (similar to waxing and
                        waning crescent moon)
shapes.worms            Generation of data set containing two clusters
                        with untypical parabolic shapes (worms)
speccl                  A spectral clustering algorithm
