Description Usage Arguments Value
View source: R/auxiliary.functions.R
For given segmentation this function estimates dimensionality of each cluster (or chooses fixed dimensionality) and for each cluster calculates the number of principal components equal to the this dimensionality
1 2 3 4 5 6 7 | calculate.pcas(
X,
segmentation,
number.clusters,
max.subspace.dim,
estimate.dimensions
)
|
X |
A data matrix. |
segmentation |
A vector, segmentation of variables into clusters. |
number.clusters |
An integer, number of subspaces (clusters). |
max.subspace.dim |
An integer, upper bound for allowed dimension of subspace. |
estimate.dimensions |
A boolean, if TRUE subspaces dimensions are estimated using PESEL. |
A subset of principal components for every cluster.
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