KM: Modified K means clustering
In WenlanzZ/MKDim: Determine Signal Space Dimension
km R Documentation
Modified K means clustering
Description
k-means clustering modified to cluster probabilities of change points
to 2 clusters and return total within-cluster variation. Adapted from
https://github.com/TunChiehHsu/Kmeans.git.
Usage
km(data)
Arguments
data
an n by p numeric matrix; the data
matrix of predictors
Value
a data frame of total within-cluster variation.
WenlanzZ/MKDim documentation built on July 30, 2022, 7:25 a.m.
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| km | R Documentation |
Modified K means clustering
Description
k-means clustering modified to cluster probabilities of change points to 2 clusters and return total within-cluster variation. Adapted from https://github.com/TunChiehHsu/Kmeans.git.
Usage
km(data)
Arguments
data |
an n by p numeric matrix; the data matrix of predictors |
Value
a data frame of total within-cluster variation.
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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