Clustering

Parameters used in clustering


clusterAxis option
Default axis to use when clustering data.
Default: samples
Options: samples, variables
clusterAxis option
Default axis to use when clustering data.
Default: samples
Options: samples, variables
distance option
Distance metric to use when clustering data.
Default: euclidian
Options: euclidian, manhattan, max
distance option
Distance metric to use when clustering data.
Default: euclidian
Options: euclidian, manhattan, max
imputeMethod option
Imputation method for missing data when clustering
Default: mean
Options: mean, median
imputeMethod option
Imputation method for missing data when clustering
Default: mean
Options: mean, median
linkage option
Linkage type to use when clustering data.
Default: complete
Options: single, complete, average
linkage option
Linkage type to use when clustering data.
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.
Default: 10
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.
Default: 10