Cluster using DPA

Cluster using DPA

cp_clusterDPAEuclideanDist(mdata, Z = 1, JK = TRUE)

Arguments

mdata,

input data
Z,

the number of standard deviations fixing the level of statistical confidence at which one decides to consider a cluster meaningful. Default value is set to 1.
JK

jack knive resampling (default TRUE)

Value

  • dendrogram - instance of class dendrogram

  • cluster assignments

  • nrCluster number of clusters

See also

Other clusterProfiler: cp_addurls_GO(), cp_clusterHClustEuclideanDistDeepslit(), cp_clusterHClustEuclideanDist(), cp_compClust(), cp_filterforNA()