| 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")