KmeansClustTable: K-Means Clustering Classification Table
In admurali/self: Simple Exploratory Learning Framework
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
K-Means Clustering Classification Table
Usage
1
KmeansClustTable(kclusters, labels)
Arguments
kclusters
is a k-means cluster, which can be generated using the KmeansClust function.
labels
is a vector of values to classify the cluster data with.
Value
Returns a table that classifies all the provided label values based on cluster number with error handling.
Author(s)
Adithya Murali
See Also
Examples
1
print(KmeansClustTable(KmeansClust(iris, 'Sepal.Length', "Sepal.Width", 3), iris$Species))
admurali/self documentation built on May 10, 2019, 5:56 a.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
K-Means Clustering Classification Table
Usage
1 | KmeansClustTable(kclusters, labels)
|
Arguments
kclusters |
is a k-means cluster, which can be generated using the KmeansClust function. |
labels |
is a vector of values to classify the cluster data with. |
Value
Returns a table that classifies all the provided label values based on cluster number with error handling.
Author(s)
Adithya Murali
See Also
Examples
1 | print(KmeansClustTable(KmeansClust(iris, 'Sepal.Length', "Sepal.Width", 3), iris$Species))
|
R Package Documentation
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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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