# Clustering Evaluation Index Based on Leave-one-out One-nearest-neighbor Evaluation

### Description

Computes the leave-one-out one-nearest-neighbor cross-validation of an arbitrary distance matrix.

### Usage

1 | ```
loo1nn.cv(d, G)
``` |

### Arguments

`d` |
A |

`G` |
Integer vector with the labels of the true cluster solution. Each element of the vector specifies the cluster 'id' that the element belongs to. |

### Details

Computes the proportion of succesful clusters that the given distance matrix produces using leave-one-out one-nearest-neighbor cross-validation. Distance ties are solved by majority vote. A tie while voting produces a warning and is solved by selecting a candidate cluster at random.

### Value

The computed proportion.

### Author(s)

Pablo Montero Manso, JosÃ© Antonio Vilar.

### See Also

`cluster.evaluation`

, `loo1nn`

, `knn.cv`

,

### Examples

1 2 3 4 5 6 7 8 9 10 11 | ```
data(synthetic.tseries)
#create the ground thruth cluster
G <- rep(1:6, each = 3)
#obtain candidate distance matrix (dist object)
dACF <- diss(synthetic.tseries, "ACF")
#calculate the cross-validation
loo1nn.cv(dACF, G)
``` |