sort.clustering {Clustering} | R Documentation |

## Returns the clustering result sorted by a set of metrics.

### Description

This function receives a clustering object and sorts the columns by parameter. By default it performs sorting by the algorithm field.

### Usage

```
## S3 method for class 'clustering'
sort(x, decreasing = TRUE, ...)
```

### Arguments

`x` |
It's an |

`decreasing` |
A logical indicating if the sort should be increasing or decreasing. By default, decreasing. |

`...` |
Additional parameters as "by", a String with the name of the
evaluation measure to order by. Valid values are: |

### Details

The additional argument in "..." is the 'by' argument, which is a
array with the name of the evaluation measure to order by. Valid value are:
```
Algorithm, Distance, Clusters, Data, Var, Time, Entropy,
Variation_information, Precision, Recall, F_measure, Fowlkes_mallows_index,
Connectivity, Dunn, Silhouette, TimeAtt
```

.

### Value

Another `clustering`

object with the evaluation measures sorted

### Examples

```
result <-
Clustering::clustering(df = cluster::agriculture,min = 4, max = 4,algorithm='gmm',
metrics='Recall')
sort(result, FALSE, 'Recall')
```

*Clustering*version 1.7.10 Index]