summary.salso.estimate {salso} | R Documentation |
Summary of Partitions Estimated Using Posterior Expected Loss
Description
Assessing the quality of clusters in a partition estimate is added by this
function. The result can then be plotted with
plot.salso.summary
. The current implementation of the
calculation of these summaries is not terribly efficient and may be improved
in the future.
Usage
## S3 method for class 'salso.estimate'
summary(object, alternative, orderingMethod = 1, ...)
Arguments
object |
An object returned by the |
alternative |
An optional argument specifying an alternative clustering
to use instead of that provided by |
orderingMethod |
An integer giving method to use to order the
observations for a heatmap plot. Currently values |
... |
Currently ignored. |
Value
A list containing the estimate, the pairwise similarity matrix, the mean pairwise similarity matrix, the score and mean pairwise similarity for each observation, exemplar observation for each cluster, a dendrogram object, a vector for ordering observations in the heatmap plot, the size of each cluster, and the number of clusters.
Examples
# For examples, use 'nCores=1' per CRAN rules, but in practice omit this.
data(iris.clusterings)
draws <- iris.clusterings
# R_CARGO \dontrun{
# R_CARGO # Example disabled since Cargo was not found when installing from source package.
# R_CARGO # You can still run the example if you install Cargo. Hint: cargo::install().
est <- salso(draws, nCores=1)
summ <- summary(est)
plot(summ, type="heatmap")
plot(summ, type="mds")
plot(summ, type="pairs", data=iris)
plot(summ, type="dendrogram")
# R_CARGO }