ECM: Evolving Clustering Method
In frbs: Fuzzy Rule-Based Systems for Classification and Regression Tasks
Description
Usage
Arguments
Value
See Also
View source: R/FCluster.FunctionCollection.R
Description
This function is a part of the DENFIS method to generate cluster centers.
Usage
1
ECM(data.train, Dthr)
Arguments
data.train
a matrix (m \times n) of data for training, where m is the number of instances and
n is the number of variables where the last column is the output variable.
Dthr
the threshold value for the evolving clustering method (ECM), between 0 and 1.
Value
a matrix of cluster centers
See Also
DENFIS and DENFIS.eng
frbs documentation built on Dec. 16, 2019, 1:19 a.m.
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Description Usage Arguments Value See Also
View source: R/FCluster.FunctionCollection.R
Description
This function is a part of the DENFIS method to generate cluster centers.
Usage
1 | ECM(data.train, Dthr)
|
Arguments
data.train |
a matrix (m \times n) of data for training, where m is the number of instances and n is the number of variables where the last column is the output variable. |
Dthr |
the threshold value for the evolving clustering method (ECM), between 0 and 1. |
Value
a matrix of cluster centers
See Also
DENFIS and DENFIS.eng
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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