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 |

`...` |
arguments passed to |

### 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 4.3.5 Index]