Clustering

Parameters used in clustering

centerData boolean
Flag to indicate whether to center data when clustering
See also: clusterAxis, clusterSamples, clusterVariables, distance, imputeMethod, linkage
Default: false
clusterAxis option
Default axis to use when clustering data.
See also: centerData, clusterSamples, clusterVariables, distance, imputeMethod, linkage
Default: samples
Options: samples, variables
distance option
Distance metric to use when clustering data.
See also: centerData, clusterAxis, clusterSamples, clusterVariables, linkage
Default: euclidian
Options: euclidian, manhattan, max
imputeMethod option
Imputation method for missing data when clustering
See also: centerData, clusterAxis, clusterSamples, clusterVariables, distance, linkage
Default: mean
Options: mean, median
kmeansClusters integer
Number of clusters when clustering data with kmeans.
See also: kmeansSamples, kmeansVariables, maxIterations
Default: 3
linkage option
Linkage type to use when clustering data.
See also: centerData, clusterAxis, clusterSamples, clusterVariables, distance, imputeMethod
Default: single
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: kmeansClusters, kmeansSamples, kmeansVariables
Default: 10