print.Cksegs.1d.dp {Ckmeans.1d.dp} | R Documentation |
Print optimal univariate segmentation results obtained from Cksegs.1d.dp
.
## S3 method for class 'Cksegs.1d.dp' print(x, ...)
x |
object returned by calling |
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Function print.Cksegs.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 "Cksegs.1d.dp
" as defined in Cksegs.1d.dp
.
Joe Song
# 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)) y <- x^3 res <- Cksegs.1d.dp(y, x=x) print(res, lwd=2)