Evaluates a clustering distance matrix within a supervised learning
scheme: leave-one-out one-neares-neighbor cross-validation.
This yields a rough estimate of the suitabilty of a distance function
for discriminating between classes if ground-truth is known.
Usage
loo1nn(x, y)
Arguments
x
A pdclust object.
y
A vector of the true class labels.
Value
Returns a percentage-correct estimate.
References
Brandmaier, A. M. (2015). pdc: An R Package for Complexity-Based Clustering
of Time Series. Journal of Statistical Software, 67(5), 1--23.