Any distance method which can be used by the function "dist"Default: "euclidean"

distancemetric

The hierarchical clustering method / algorithm. Acceptable
values are: "ward.D", "ward.D2", "single", "complete", "average" (= UPGMA),
"mcquitty" (= WPGMA), "median" (= WPGMC) or "centroid" (= UPGMC)Default: "ward.D2"

method

 ~kwd1 

 ~kwd2 

Consensus clustering by the unification of clustering results from multiple datasets using external specifications.

Basel AbuJamous

UNCLES

Unification of Clustering Results from Multiple Datasets using
External Specifications

HC function


Any distance method which can be used by the function "dist"

Default: "euclidean"



The hierarchical clustering method / algorithm. Acceptable
values are: "ward.D", "ward.D2", "single", "complete", "average" (= UPGMA),
"mcquitty" (= WPGMA), "median" (= WPGMC) or "centroid" (= UPGMC)

Default: "ward.D2"


HC: HC

Description

Usage

Arguments