FindCluster: Find a selection of objects in the output of...

In IntClust: Integration of Multiple Data Sets with Clustering Techniques

Description

FindCluster selects the objects belonging to a cluster after the results of the methods have been rearranged by the ReorderToReference.

Usage

FindCluster(List, nrclusters = NULL, select = c(1, 1), fusionsLog = TRUE,
  weightclust = TRUE, names = NULL)

Arguments

List	A list of the clustering outputs to be compared. The first element of the list will be used as the reference in ReorderToReference.
nrclusters	The number of clusters to cut the dendrogram in. Default is NULL.
select	The row (the method) and the number of the cluster to select. Default is c(1,1).
fusionsLog	Logical. To be handed to ReorderToReference: indicator for the fusion of clusters. Default is TRUE
weightclust	Logical. To be handed to ReorderToReference: to be used for the outputs of CEC, WeightedClust or WeightedSimClust. If TRUE, only the result of the Clust element is considered. Default is TRUE.
names	Optional. Names of the methods. Default is NULL.

Value

A character vector containing the names of the objects in the selected cluster.

Examples

data(fingerprintMat)
data(targetMat)

MCF7_F = Cluster(fingerprintMat,type="data",distmeasure="tanimoto",normalize=FALSE,
method=NULL,clust="agnes",linkage="flexible",gap=FALSE,maxK=55,StopRange=FALSE)
MCF7_T = Cluster(targetMat,type="data",distmeasure="tanimoto",normalize=FALSE,
method=NULL,clust="agnes",linkage="flexible",gap=FALSE,maxK=55,StopRange=FALSE)

L=list(MCF7_F,MCF7_T)
names=c("FP","TP")

Comps=FindCluster(List=L,nrclusters=7,select=c(1,4))
Comps

IntClust documentation built on May 2, 2019, 5:51 a.m.