somCluster: Self-organized map clustering
In DSAM: Data Splitting Algorithms for Model Developments
somCluster R Documentation
Self-organized map clustering
Description
Built-in function: This function performs clustering for a given dataset by calling the [kohonen]{som} function from a “kohonen” package.
Usage
somCluster(data)
Arguments
data
The dataset in matrix or data.frame, containing only input and output vectors, but with no subscript vector.
Value
Return a data list of clustering neurons in the SOM network.
DSAM documentation built on May 29, 2024, 3:05 a.m.
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| somCluster | R Documentation |
Self-organized map clustering
Description
Built-in function: This function performs clustering for a given dataset by calling the [kohonen]{som} function from a “kohonen” package.
Usage
somCluster(data)
Arguments
data |
The dataset in matrix or data.frame, containing only input and output vectors, but with no subscript vector. |
Value
Return a data list of clustering neurons in the SOM network.
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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