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

## Print Optimal Univariate Segmentation Results

### Description

Print optimal univariate segmentation results obtained from `Cksegs.1d.dp`

.

### Usage

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

### Arguments

`x` |
object returned by calling |

`...` |
arguments passed to |

### Details

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.

### Value

An object of class "`Cksegs.1d.dp`

" as defined in `Cksegs.1d.dp`

.

### Author(s)

Joe Song

### 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))
y <- x^3
res <- Cksegs.1d.dp(y, x=x)
print(res, lwd=2)
```

[Package

*Ckmeans.1d.dp*version 4.3.5 Index]