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 |