Description Usage Arguments Value
This function calculate clustering of single view patient prototypes by using pvclust packages.
1 2 3 | pvclust_prep(DB, hclust.method = "ward", nboot = 100,
dist.method = "correlation", alpha = 0.95, show.print = F, r = 1,
printLocation = ".", km_center = F, nCenters)
|
DB |
is your matrix dataset |
hclust.method |
is the the agglomeration method to be used for the hclust function. Default value is "ward". |
nboot |
is the number of bootstrap replications. The default is 100. |
dist.method |
is the distance measure to be used. |
r |
is numeric vector which specifies the relative sample sizes of bootstrap replications. The default is 1. |
nCenters |
is the desidered number of cluster |
nCenters |
is the desidered number of clusters |
a list containing three field: pvclust.res is the pvclust clustering results. clustering is the vector with clustering assignment. center is the matrix with center prototypes.
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