minMD: Minimum Mahalanobis Distance
In oclust: Gaussian Model-Based Clustering with Outliers
minMD R Documentation
Minimum Mahalanobis Distance
Description
minMD calculates the Mahalanobis distance to each cluster and returns the Mahalanobis distance to the closest cluster.
Usage
minMD(X, sigs, mus)
Arguments
X
A matrix or data frame of the data.
sigs
A list of cluster variance matrices
mus
A list of cluster mean vectors
Details
This function is used to help identify initial gross outliers.
Value
minMD returns a vector of length n corresponding to the minimum MD for each point.
oclust documentation built on Dec. 28, 2022, 2 a.m.
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| minMD | R Documentation |
Minimum Mahalanobis Distance
Description
minMD calculates the Mahalanobis distance to each cluster and returns the Mahalanobis distance to the closest cluster.
Usage
minMD(X, sigs, mus)
Arguments
X |
A matrix or data frame of the data. |
sigs |
A list of cluster variance matrices |
mus |
A list of cluster mean vectors |
Details
This function is used to help identify initial gross outliers.
Value
minMD returns a vector of length n corresponding to the minimum MD for each point.
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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