print.Ckmeans.1d.dp {Ckmeans.1d.dp} R Documentation

## Print Optimal Univariate Clustering Results

### Description

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

### Usage

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

### Arguments

 `x` object returned by calling `Ckmeans.1d.dp` or `Cksegs.1d.dp`. `...` arguments passed to `print` function.

### 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.

### Value

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

### Author(s)

Joe Song and Haizhou Wang

### 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)
```

[Package Ckmeans.1d.dp version 4.3.3 Index]