Usage
bootCVD(x, k, nboot=100, nrep=1, method = c("kmn", "kmd", "neuralgas"), col1, col2, dsname)
bootCH(xdat, k_vals, clstr1, clstr2, cntrs1, cntrs2, method = c("kmn", "kmd", "neuralgas"))
bootPlot(fc, ch, col1="blue", col2="green")
Arguments
x
A numeric matrix of the data to be clustered.
k
An integer vector giving the set of clustering solutions to be
examined.
nboot
The number of bootstrap replicates to use for the assessment.
nrep
The number of each set of initial cluster seeds on which to base
a solution.
method
The clustering method, one of "kmn" (K-Means), "kmd"
(K-Medians), and "neuralgas" (neural gas).
col1
The color to use for the plot of the Rand index values.
col2
The color to use for the plot of the Calinski-Harabas index values.
dsname
The name of the dataset being used (used only for output purposes.
xdat
A numeric matrix of the data to be clustered.
k_vals
An integer vector giving the set of clustering solutions to be examined.
clstr1
The cluster assignments from a bootFlexclust object for one side
of the Rand index paired comparisons.
clstr2
The cluster assignments from a bootFlexclust object for the
other side of the Rand index paired comparisons.
cntrs1
The cluster centers from a bootFlexclust object for one side
of the bootFlexclust Rand index paired comparisons.
cntrs2
The cluster centers from a bootFlexclust object for the other
side of the bootFlexclust Rand index paired comparisons.
fc
A bootFlexclust object.
ch
A matrix of Calinski-Harabas index values from bootCH.