R: Searching for Optimal Clustering Procedure for a Data Set

# Searching for Optimal Clustering Procedure for a Data Set

## Documentation for package ‘clusterSim’ version 0.49-2

- DESCRIPTION file.

## Help Pages

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
GDM | Calculates Generalized Distance Measure
GDM1 | Calculates Generalized Distance Measure
GDM2 | Calculates Generalized Distance Measure
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.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
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
shapes.blocks3d | Generation of data set containing two clusters with untypical shapes (cube divided into two parts by main diagonal plane)
shapes.bulls.eye | Generation of data set containing two clusters with untypical ring shapes (circles)
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