GDM Distance,
Sokal-Michener Distance,
Bray-Curtis Distance,
Calinski-Harabasz Index,
G2 Index,
G3 Index,
Silhouette Index,
Krzanowski-Lai Index,
Hartigan Index,
Gap Index,
DB Index,
Data Normalization,
HINoV method,
Replication analysis for cluster validation,
Clustering with several algorithms, distances,
Symbolic interval distances,
Plot functions,
Random cluster generation,
Linear ordering methods,
Comparing partitions,
Spectral clustering,
Ordinal to metric scale transformation.

GDM Distance,
Sokal-Michener Distance,
Bray-Curtis Distance,
Calinski-Harabasz Index,
G2 Index,
G3 Index,
Silhouette Index,
Krzanowski-Lai Index,
Hartigan Index,
Gap Index,
DB Index,
Data Normalization,
HINoV method,
Replication analysis for cluster validation,
Clustering with several algorithms, distances,
Symbolic interval distances,
Plot functions,
Random cluster generation,
Linear ordering methods,
Comparing partitions,
Spectral clustering,
Ordinal to metric scale transformation,
Untypical data generation.

Searching for Optimal Clustering Procedure for a Data Set
Distance measures (GDM1, GDM2,	Sokal-Michener, Bray-Curtis, for symbolic interval-valued data), cluster quality indices (Calinski-Harabasz, Baker-Hubert, Hubert-Levine, Silhouette, Krzanowski-Lai, Hartigan, Gap,	Davies-Bouldin),	data normalization formulas, data generation (typical and non-typical data), HINoV method,	replication analysis, linear ordering methods, spectral clustering, agreement indices between two partitions, plot functions (for categorial and symbolic interval-valued data).

ade4, e1071, rgl, R2HTML, modeest, grDevices, graphics, stats,
utils

Distance measures (GDM1, GDM2,	Sokal-Michener, Bray-Curtis, for symbolic interval-valued data), cluster quality indices (Calinski-Harabasz, Baker-Hubert, Hubert-Levine, Silhouette, Krzanowski-Lai, Hartigan, Gap,	Davies-Bouldin),	data normalization formulas, data generation (typical and non-typical data), HINoV method,	replication analysis, linear ordering methods, spectral clustering, agreement indices between two partitions, plot functions (for categorical and symbolic interval-valued data).