Summarizing PKBD mixture Fits

Summary method for class "pkbc"

Usage

# S4 method for pkbc
summary(object)

Arguments

object

Object of class pkbc

Value

Display the logLikelihood values and within cluster sum of squares (wcss) for all the values of number of clusters provided. For each of these values the estimated mixing proportions are showed together with a table with the assigned memberships.

See also

pkbc() for the clustering algorithm
pkbc for the class object definition.

Examples

dat <- rbind(matrix(rnorm(100),2),matrix(rnorm(100,5),2))
res <- pkbc(dat,2:4)
summary(res)
#> Poisson Kernel-Based Clustering on the Sphere (pkbc) Results
#> ------------------------------------------------------------
#> 
#> Summary:
#>      nClust    LogLik     WCSS
#> [1,]      2  744.1161 4.978247
#> [2,]      3 1104.1246 4.049000
#> [3,]      4 1391.2432 4.000000
#> 
#> Results for 2 clusters:
#> Estimated Mixing Proportions (alpha):
#> [1] 0.2879668 0.7120332
#> 
#> Clustering table:
#> 
#> 1 2 
#> 1 3 
#> 
#> 
#> Results for 3 clusters:
#> Estimated Mixing Proportions (alpha):
#> [1] 0.25 0.25 0.50
#> 
#> Clustering table:
#> 
#> 1 2 3 
#> 1 1 2 
#> 
#> 
#> Results for 4 clusters:
#> Estimated Mixing Proportions (alpha):
#> [1] 0.25 0.25 0.25 0.25
#> 
#> Clustering table:
#> 
#> 1 2 3 4 
#> 1 1 1 1 
#> 
#>