Ckmeans.1d.dp (version 4.3.5)

print.Ckmeans.1d.dp: Print Optimal Univariate Clustering Results

Description

Print optimal univariate clustering results obtained from Ckmeans.1d.dp or Ckmedian.1d.dp.

Usage

# S3 method for Ckmeans.1d.dp
print(x, ...)
# S3 method for Ckmedian.1d.dp
print(x, ...)

Value

An object of class "Ckmeans.1d.dp" or "Ckmedian.1d.dp" as defined in Ckmeans.1d.dp.

Arguments

x

object returned by calling Ckmeans.1d.dp or Cksegs.1d.dp.

...

arguments passed to print function.

Author

Joe Song and Haizhou Wang

Details

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.

Examples

# 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)