clustOutput-class {MLInterfaces} | R Documentation |
container for cluster analysis results
Objects can be created by calls of the form new("clustOutput", ...)
.
clustIndices
:MLLabel
clustScores
:MLScore
, when
a numerical figure of clustering is available method
:"character"
tag indicating
name of procedure RObject
:"ANY"
unprocessed output of the
clustering function call
:"call"
audit of the call that
created the object distMat
:"dist"
distance among objects
Class "MLOutput"
, directly.
signature(object = "clustOutput")
: concise report signature(out = "clustOutput")
: compute the silhouette
object corresponding to the partition VJ Carey <stvjc@channing.harvard.edu>
showClass("clustOutput") library(golubEsets) data(Golub_Merge) train <- c(sample(1:47, 23), sample(48:72, 12)) agOut <- agnesB(Golub_Merge[100:200,], 3) agOut sil.ag <- silhouetteB(agOut) plot(sil.ag, main="Silhouette Plot for Agnes Clustering")