getFinalPartition: The getFinalPartition function
In mpru/ConsensusClustering: An R Package for Consensus Clustering

Internal. Takes the consensus vector for each K and performs hierachical clustering to get the final k clusters.

1 2	getFinalPartition(consensusVector, K, n, sampleNames, finalLinkage, pathOutput, verbose)

`consensusVector`	list a vector of counts of how many times each pair of samples have been clustered together so far, for each value of K.
`K`	vector of integers representing numbeer of clusters to evaluate.
`n`	number of samples in input data matrix
`sampleNames`	vector with samples names (colnames of input data)
`finalLinkage`	heirarchical linkage method for producing a final classification with the consensus indexes
`pathOutput`	directory for output files
`verbose`	logical, print progress messages to screen

A list with one element for each value of K, each containing:

consensusTree: final heirarchical tree based on the matrix of consensus indexes after running all the iterations of the clustering.
consensusClass: vector with the final cluster assignment for each sample.
consensusVector: vector of consensus indexes for each pair of samples. The consensus index is the proportion of times that a pair of samples was clustered together in the same group, out of the total number times they were in the same bootstrap sample.