index.G3
(Package: clusterSim) :
Calculates G3 internal cluster quality index
Calculates G3 Hubert & Levine internal cluster quality index
● Data Source:
CranContrib
● Keywords: cluster
● Alias: index.G3
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HINoV.Symbolic
(Package: clusterSim) :
Modification of Carmone, Kara & Maxwell Heuristic Identification of Noisy Variables (HINoV) method for symbolic interval data
Modification of Heuristic Identification of Noisy Variables (HINoV) method for symbolic interval data
● Data Source:
CranContrib
● Keywords: cluster
● Alias: HINoV.Symbolic
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comparing.Partitions
(Package: clusterSim) :
Calculate agreement indices between two partitions
Calculate agreement indices between two partitions
● Data Source:
CranContrib
● Keywords: cluster
● Alias: comparing.Partitions
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cluster.Gen
(Package: clusterSim) :
Random cluster generation with known structure of clusters
Random cluster generation with known structure of clusters (optionally with noisy variables and outliers)
● Data Source:
CranContrib
● Keywords: cluster, data, multivariate
● Alias: cluster.Gen
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shapes.circles2
(Package: clusterSim) :
Generation of data set containing two clusters with untypical ring shapes (circles)
Generation of data set containing two clusters with untypical ring shapes. For each point first random radius r from given interval is generated then random angle alpha and finally the coordinates of point are calculated as (r*cos(alpha),r*sin(alpha)). For bull's eye data set second shape is filled circle (r starts from 0)
● Data Source:
CranContrib
● Keywords: cluster,dataset
● Alias: shapes.bulls.eye, shapes.circles2
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plotCategorial3d
(Package: clusterSim) :
Plot categorial data with three-dimensional plots
Plot categorial data with three-dimensional plots (optionally with clusters)
● Data Source:
CranContrib
● Keywords: hplot
● Alias: plotCategorial3d
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cluster.Sim
(Package: clusterSim) :
Determination of optimal clustering procedure for a data set
Determination of optimal clustering procedure for a data set by varying all combinations of normalization formulas, distance measures, and clustering methods
● Data Source:
CranContrib
● Keywords: cluster, data, multivariate, optimize
● Alias: cluster.Sim
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ordinalToMetric
(Package: clusterSim) :
Reinforcing measurement scale for ordinal data
Reinforcing measurement scale for ordinal data (ordinal to metric scale)
● Data Source:
CranContrib
● Keywords: ordinal scale, GDM distance, reinforcing measurement scale, multivariate statistical analysis
● Alias: ordinalToMetric
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plotCategorial
(Package: clusterSim) :
Plot categorial data on a scatterplot matrix
Plot categorial data on a scatterplot matrix (optionally with clusters)
● Data Source:
CranContrib
● Keywords: hplot
● Alias: plotCategorial
●
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index.S
(Package: clusterSim) :
Calculates Rousseeuw's Silhouette internal cluster quality index
Calculates Rousseeuw's Silhouette internal cluster quality index
● Data Source:
CranContrib
● Keywords: cluster
● Alias: index.S
●
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