print.Ckmeans.1d.dp {Ckmeans.1d.dp} | R Documentation |
Print optimal univariate clustering results obtained from Ckmeans.1d.dp
or Ckmedian.1d.dp
.
## S3 method for class 'Ckmeans.1d.dp' print(x, ...) ## S3 method for class 'Ckmedian.1d.dp' print(x, ...)
x |
object returned by calling |
... |
arguments passed to |
Function print.Ckmeans.1d.dp
and print.Ckmedian.1d.dp
prints the maximum ratio of between-cluster sum of squares to total sum of squares unless all input elements are zero. The ratio is an indicator of maximum achievable clustering quality given the number of clusters: 100% for a perfect clustering and 0% for no cluster patterns.
An object of class "Ckmeans.1d.dp
" or "Ckmedian.1d.dp
" as defined in Ckmeans.1d.dp
.
Joe Song and Haizhou Wang
# Example: clustering data generated from a Gaussian # mixture model of two components x <- c(rnorm(15, mean=-1, sd=0.3), rnorm(15, mean=1, sd=0.3)) res <- Ckmeans.1d.dp(x) print(res) res <- Ckmedian.1d.dp(x) print(res) y <- (rnorm(length(x)))^2 res <- Ckmeans.1d.dp(x, y=y) print(res) res <- Ckmedian.1d.dp(x) print(res)