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0.49-2
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Install
install.packages('clusterSim')
Monthly Downloads
25,223
Version
0.49-2
License
GPL (>= 2)
Maintainer
Andrzej Dudek
Last Published
January 6th, 2021
Functions in clusterSim (0.49-2)
Search functions
data_binary
Binary data
cluster.Gen
Random cluster generation with known structure of clusters
data_mixed
Mixed data
HINoV.Symbolic
Modification of Carmone, Kara \& Maxwell Heuristic Identification of Noisy Variables (HINoV) method for symbolic interval data
cluster.Sim
Determination of optimal clustering procedure for a data set
data_interval
Interval data
HINoV.Mod
Modification of Carmone, Kara \& Maxwell Heuristic Identification of Noisy Variables (HINoV) method
data.Normalization
Types of variable (column) and object (row) normalization formulas
comparing.Partitions
Calculate agreement indices between two partitions
data_nominal
Nominal data
data_patternGDM2
Ordinal data with 27 objects and 6 variables (3 stimulant variables, 2 destimulant variables and 1 nominant variable)
cluster.Description
Descriptive statistics calculated separately for each cluster and variable
index.G2
Calculates G2 internal cluster quality index
index.G1
Calculates Calinski-Harabasz pseudo F-statistic
data_symbolic_interval_polish_voivodships
The evaluation of Polish voivodships tourism attractiveness level
data_symbolic
Symbolic interval data
data_ratio
Ratio data
data_patternGDM1
Metric data with 17 objects and 10 variables (8 stimulant variables, 2 destimulant variables)
index.H
Calculates Hartigan index
index.C
Calculates Hubert & Levin C index - internal cluster quality index
dist.Symbolic
Calculates distance between interval-valued symbolic data
dist.SM
Calculates Sokal-Michener distance measure for nominal variables
index.S
Calculates Rousseeuw's Silhouette internal cluster quality index
plotInterval
Plot symbolic interval-valued data on a scatterplot matrix
initial.Centers
Calculation of initial clusters centers for k-means like alghoritms
plotCategorial3d
Plot categorial data with three-dimensional plots
index.G3
Calculates G3 internal cluster quality index
index.DB
Calculates Davies-Bouldin's index
shapes.two.moon
Generation of data set containing two clusters with untypical shapes (similar to waxing and waning crescent moon)
index.Gap
Calculates Tibshirani, Walther and Hastie gap index
pattern.GDM2
An application of GDM2 distance for ordinal data to compute the distances of objects from the pattern object (upper or lower)
interval_normalization
Types of normalization formulas for interval-valued symbolic variables
dist.BC
Calculates Bray-Curtis distance measure for ratio data
plotCategorial
Plot categorial data on a scatterplot matrix
pattern.GDM1
An application of GDM1 distance for metric data to compute the distances of objects from the pattern object (upper or lower)
replication.Mod
Modification of replication analysis for cluster validation
index.KL
Calculates Krzanowski-Lai index
shapes.blocks3d
Generation of data set containing two clusters with untypical shapes (cube divided into two parts by main diagonal plane)
speccl
A spectral clustering algorithm
shapes.circles2
Generation of data set containing two clusters with untypical ring shapes (circles)
dist.GDM
Calculates Generalized Distance Measure
shapes.circles3
Generation of data set containing three clusters with untypical ring shapes (circles)
shapes.worms
Generation of data set containing two clusters with untypical parabolic shapes (worms)