initializeMeansMatrix: Initialize Means Matrix
In SoftClustering: Soft Clustering Algorithms
View source: R/RoughClustering.r
initializeMeansMatrix R Documentation
Initialize Means Matrix
Description
initializeMeansMatrix delivers an initial means matrix.
Usage
initializeMeansMatrix(dataMatrix, nClusters, meansMatrix)
Arguments
dataMatrix
Matrix with the objects as basis for the means matrix.
nClusters
Number of clusters.
meansMatrix
Select means derived from 1 = random (unity interval), 2 = maximum distances, matrix [nClusters x nFeatures] = self-defined means (will be returned unchanged). Default: 2 = maximum distances.
Value
Initial means matrix [nClusters x nFeatures].
Author(s)
M. Goetz, G. Peters, Y. Richter, D. Sacker, T. Wochinger.
SoftClustering documentation built on Aug. 18, 2023, 9:08 a.m.
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View source: R/RoughClustering.r
| initializeMeansMatrix | R Documentation |
Initialize Means Matrix
Description
initializeMeansMatrix delivers an initial means matrix.
Usage
initializeMeansMatrix(dataMatrix, nClusters, meansMatrix)
Arguments
dataMatrix |
Matrix with the objects as basis for the means matrix. |
nClusters |
Number of clusters. |
meansMatrix |
Select means derived from 1 = random (unity interval), 2 = maximum distances, matrix [nClusters x nFeatures] = self-defined means (will be returned unchanged). Default: 2 = maximum distances. |
Value
Initial means matrix [nClusters x nFeatures].
Author(s)
M. Goetz, G. Peters, Y. Richter, D. Sacker, T. Wochinger.
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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