![[R logo]](../../../doc/html/logo.jpg){kind=logo}
![[Package List]](../../../doc/html/left.jpg){kind=small}
![[Top]](../../../doc/html/up.jpg){kind=small}
| 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 |
| 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 |
| dist.Symbolic | Calculates distance between symbolic interval-valued 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.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 |
| 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 |