distances: Distance and Centroid Computation
In flexclust: Flexible Cluster Algorithms
distances R Documentation
Distance and Centroid Computation
Description
Helper functions to create kccaFamily objects.
Usage
distAngle(x, centers)
distCanberra(x, centers)
distCor(x, centers)
distEuclidean(x, centers)
distJaccard(x, centers)
distManhattan(x, centers)
distMax(x, centers)
distMinkowski(x, centers, p=2)
centAngle(x)
centMean(x)
centMedian(x)
centOptim(x, dist)
centOptim01(x, dist)
Arguments
x
A data matrix.
centers
A matrix of centroids.
p
The power of the Minkowski distance.
dist
A distance function.
Author(s)
Friedrich Leisch
flexclust documentation built on April 8, 2022, 5:09 p.m.
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| distances | R Documentation |
Distance and Centroid Computation
Description
Helper functions to create kccaFamily objects.
Usage
distAngle(x, centers) distCanberra(x, centers) distCor(x, centers) distEuclidean(x, centers) distJaccard(x, centers) distManhattan(x, centers) distMax(x, centers) distMinkowski(x, centers, p=2) centAngle(x) centMean(x) centMedian(x) centOptim(x, dist) centOptim01(x, dist)
Arguments
x |
A data matrix. |
centers |
A matrix of centroids. |
p |
The power of the Minkowski distance. |
dist |
A distance function. |
Author(s)
Friedrich Leisch
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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