Ckmeans.1d.dp (version 4.3.3)

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, …)

Arguments

x

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

...

arguments passed to print function.

Value

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

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

# NOT RUN {
# 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)
# }

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