numClusters: Calculates the optimal number of clusters using a cluster R^2...
In helenristov/aCompiler: What the package does (short line)
Description
Usage
Arguments
Author(s)
Description
Calculates the optimal number of clusters using a cluster R^2 equivalent metric, namely, the between sum of squares over the total sum of squares metric.
Usage
1
numClusters(Data, clusterIter = 10, threshold = 0.01)
Arguments
Data
The data that you wish to examine containing the cluster dimensions
clusterIter
The number of clusters centers for examination. A setting of 10 will run 2 through 10 cluster functions and return the best choice.
threshold
The difference in the cluster R^2 must meet in order to include the next cluster iteration.
Author(s)
Helena Ristov
helenristov/aCompiler documentation built on May 3, 2019, 9:40 p.m.
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Description Usage Arguments Author(s)
Description
Calculates the optimal number of clusters using a cluster R^2 equivalent metric, namely, the between sum of squares over the total sum of squares metric.
Usage
1 | numClusters(Data, clusterIter = 10, threshold = 0.01)
|
Arguments
Data |
The data that you wish to examine containing the cluster dimensions |
clusterIter |
The number of clusters centers for examination. A setting of 10 will run 2 through 10 cluster functions and return the best choice. |
threshold |
The difference in the cluster R^2 must meet in order to include the next cluster iteration. |
Author(s)
Helena Ristov
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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