dbs-class | R Documentation |
This class pertains to results of the application of function
dbs
.
Objects can be created by calls of the form new("dbs", ...)
or as a
result from calling function dbs
.
call
:Object of class "call"
reporting the matched
call.
x
:Object of class "matrix"
representing the clustered
data points.
prior
:Object of class "numeric"
being the prior
probabilities of belonging to the groups.
dbs
:Object of class "numeric"
reporting the
density-based silhouette information of the clustered data.
clusters
:Object of class "numeric"
reporting the
group labels of grouped data.
noc
:Object of class "numeric"
indicating the number
of clusters.
stage
:Object of class "ANY"
corresponding to the
stage of the classification at which the density-based silhouette information
is computed when dbs
is applied to an object of
pdfCluster-class
.
signature(x = "dbs", y = "missing")
:
S4 method for plotting objects of dbs-class
. Data are partitioned
into the clusters, sorted in a decreasing order with respect to their dbs value
and displayed on a bar graph. See plot,dbs-method
for further details.
signature(object = "dbs")
:
S4 method for showing objects of dbs-class
. The following
elements are shown:
the dbs index computed at the observed data;
The cluster membership of each data point;
signature(object = "dbs")
:
S4 method for summarizing objects of dbs-class
. The following
elements are shown:
a summary (minimum, 1st quartile, median, mean, 3rd quartile, maximum) of the dbs values for each cluster;
a summary (minimum, 1st quartile, median, mean, 3rd quartile, maximum) of the dbs values for all the observations.
dbs
, silhouette
,
plot,dbs-method
, plot-methods
,
show-methods
, summary-methods
.
showClass("dbs") #wine example #data loading data(wine) # select a subset of variables x <- wine[, c(2,5,8)] #clustering cl <- pdfCluster(x) dsil <- dbs(cl) dsil summary(dsil)
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