summary.DiscrFact: summary Method for DiscrFact Objects

In tclust: Robust Trimmed Clustering

summary Method for DiscrFact Objects

Description

The summary method for class DiscrFact.

Usage

## S3 method for class 'DiscrFact'
 summary(object, hide.emtpy = TRUE, show.clust, show.alt, ...)

Arguments

object	An object of class "DiscrFact" as from DiscrFact ().
hide.emtpy	A logical value specifying whether clusters without doubtful assignment shall be hidden.
show.clust	A logical value specifying whether the number of doubtful assignments per cluster shall be displayed.
show.alt	A logical value specifying whether the alternative cluster assignment shall be displayed.
...	Arguments passed to or from other methods.

Value

No return value is provided.

Author(s)

Agustin Mayo Iscar, Luis Angel Garcia Escudero, Heinrich Fritz

References

García-Escudero, L.A.; Gordaliza, A.; Matrán, C. and Mayo-Iscar, A. (2009), "Exploring the number of groups in robust model-based clustering".
Preprint available at www.eio.uva.es/infor/personas/langel.html.

See Also

plot.DiscrFact

Examples

sig <- diag (2)
cen <- rep (1, 2)
x <- rbind(mvtnorm::rmvnorm(360, cen * 0,   sig),
	       mvtnorm::rmvnorm(540, cen * 5,   sig * 6 - 2),
	       mvtnorm::rmvnorm(100, cen * 2.5, sig * 50)
)
clus.1 <- tclust (x, k = 2, alpha = 0.1, restr.fact = 12)

clus.2 <- tclust (x, k = 3, alpha = 0.1, restr.fact = 1)  
  ##  restr.fact and k are chosen improperly for pointing out the 
  ##    difference in the plot of DiscrFact

dsc.1 <- DiscrFact (clus.1)
summary(dsc.1)

dsc.2 <- DiscrFact (clus.2)
summary (dsc.2)

tclust documentation built on March 31, 2023, 6:46 p.m.