loo1nn: Leave-one-out One-nearest-neighbor Evaluation
In pdc: Permutation Distribution Clustering
Description
Usage
Arguments
Value
Author(s)
References
See Also
Description
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
1
loo1nn(x, y)
Arguments
x
A pdclust object.
y
A vector of the true class labels.
Value
Returns a percentage-correct estimate.
Author(s)
Andreas Brandmaier brandmaier@mpib-berlin.mpg.de
References
Brandmaier, A. M. (2015). pdc: An R Package for Complexity-Based Clustering
of Time Series. Journal of Statistical Software, 67(5), 1–23.
See Also
pdc documentation built on May 2, 2019, 9 a.m.
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Description Usage Arguments Value Author(s) References See Also
Description
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
1 | loo1nn(x, y)
|
Arguments
x |
A |
y |
A vector of the true class labels. |
Value
Returns a percentage-correct estimate.
Author(s)
Andreas Brandmaier brandmaier@mpib-berlin.mpg.de
References
Brandmaier, A. M. (2015). pdc: An R Package for Complexity-Based Clustering of Time Series. Journal of Statistical Software, 67(5), 1–23.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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