TSclust (version 1.2.4)

loo1nn.cv: 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

loo1nn.cv(d, G)

Arguments

d

A dist object.

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.

Value

The computed proportion.

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.

See Also

cluster.evaluation, loo1nn, knn.cv,

Examples

# NOT RUN {
 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)
 
# }

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