dist.to.knn: Auxiliary function for the LOF algorithm.
In dprep: Data Pre-Processing and Visualization Functions for Classification
Description
Usage
Arguments
Author(s)
See Also
Description
This function returns an object in which columns contain
the indices of the first k neighbors followed by the
distances to each of these neighbors.
Usage
1
dist.to.knn(dataset, neighbors)
Arguments
dataset
The name of the dataset
neighbors
The number of neighbors
Author(s)
Caroline Rodriguez
See Also
dprep documentation built on May 29, 2017, 11:01 a.m.
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Description Usage Arguments Author(s) See Also
Description
This function returns an object in which columns contain the indices of the first k neighbors followed by the distances to each of these neighbors.
Usage
1 | dist.to.knn(dataset, neighbors)
|
Arguments
dataset |
The name of the dataset |
neighbors |
The number of neighbors |
Author(s)
Caroline Rodriguez
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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