Clustering

Parameters used in clustering


clusterAxis option Private
Axis to use when clustering data.
Default: samples
Options: samples, variables
distance option
Distance metric to use when clustering data.
See also: clusterSamples, clusterVariables, linkage
Default: euclidian
Options: euclidian, manhattan, max
imputeMethod option
Imputation method for missing data when clustering
See also: clusterSamples, clusterVariables, distance, linkage
Default: mean
Options: mean, median
Number of clusters when clustering sample data with kmeans.
See also: kmeansSamples, kmeansVarClusters, kmeansVariables, maxIterations
Default: 3
Number of clusters when clustering variable data with kmeans.
See also: kmeansSamples, kmeansSmpClusters, kmeansVariables, maxIterations
Default: 3
linkage option
Linkage type to use when clustering data.
See also: clusterSamples, clusterVariables, distance, imputeMethod
Default: complete
Options: single, complete, average
maxIterations integer
Number of maximum iterations when clustering data with kmeans for one dimensional graphs or maximum number of iterations when calculating force direct layout networks.
See also: kmeansSamples, kmeansSmpClusters, kmeansVarClusters, kmeansVariables
Default: 100
Configuration property to k-mean variables
Default: false