| clusteringOutput-class {MLInterfaces} | R Documentation |
container for clustering outputs in uniform structure
Objects can be created by calls of the form new("clusteringOutput", ...).
partition:"integer", labels for
observations as clustered silhouette:"silhouette",
structure from Rousseeuw cluster package measuring cluster
membership strength per observationdistFun:"environment" not in use prcomp:"prcompObj" a wrapped
instance of stats package prcomp output call:"call" for auditing learnerSchema:"learnerSchema", a
formal object indicating the package, function, and other attributes
of the clustering algorithm employed to generate this object RObject:"ANY", the
unaltered output of the function called according to learnerSchema converter:signature(x = "clusteringOutput"): extract
the unaltered output of the R function or method called according
to learnerSchema signature(x = "clusteringOutput", y = "ANY"):
a 4-panel plot showing features of the clustering, including the
scree plot for a principal components transformation and a display
of the partition in PC1xPC2 plane. For a clustering method that
does not have a native plot procedure, such as kmeans, the parameter
y should be bound to a data frame or matrix with feature data for all records;
an image plot of robust feature z-scores (z=(x-median(x))/mad(x)) and
the cluster indices is produced in the northwest panel. signature(object = "clusteringOutput"): concise
report VJ Carey <stvjc@channing.harvard.edu>
showClass("clusteringOutput")