iqtcatClust: A three step Clustering Algorithm correlation distance
In QTCAT/iqtcat: Interaction Quantitative Trait Cluster Association Test

Dendrogram for big data.

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iqtcatClust(snp, iInx, k, identicals = TRUE, maxNeigbours = 100,
  nLocal = 10, method = "complete", mc.cores = 1, trace = FALSE,
  ...)

`snp`	A object of class snpMatrix.
`iInx`	...
`k`	positive integer specifying the number of clusters, less than the number of observations.
`identicals`	lgical, if zero clustering ...
`maxNeigbours`	positive integer specifying the maximum number of randomized searches.
`nLocal`	positive integer specifying the number of optimisation runs. Columns have to be similar to `snp`.
`method`	see hclust
`mc.cores`	number of cores for parallel computing. See `mclapply` in package parallel for details.
`trace`	...
`...`	...