loo1nn.cv: Clustering Evaluation Index Based on Leave-one-out...

In TSclust: Time Series Clustering Utilities

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.

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, José Antonio Vilar.

See Also

cluster.evaluation, loo1nn, knn.cv,

Examples

 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)
 

Example output

Loading required package: wmtsa
Loading required package: pdc
Loading required package: cluster
Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE 
3: .onUnload failed in unloadNamespace() for 'rgl', details:
  call: fun(...)
  error: object 'rgl_quit' not found 
[1] 0.4444444

TSclust documentation built on July 23, 2020, 1:07 a.m.