f.clustABC.MultiSource: f.clustABC.MultiSoucre
In IntClust: Integration of Multiple Data Sets with Clustering Techniques

Internal function of M_ABC: performs the final clustering.

1 2	f.clustABC.MultiSource(res, numclust = NULL, distmeth = 1, linkage = "ward", alpha = 0.625, mds = FALSE)

`res`	Matrix object whose rows are the base clusters determined in each iteration of the ABC algorithm.
`numclust`	The number of clusters. Default is NULL.
`distmeth`	Binary, indicating whether the ABC dissimilarities should be scaled by the total number of simulations. By default distmeth=1 indicating the dissimilarities should be left as is.
`linkage`	Choice of inter group dissimilarity (character) for the final clustering. Defaults to "ward.
`alpha`	The parameter alpha to be used in the "flexible" linkage of the agnes function. Defaults to 0.625 and is only used if the linkage is set to "flexible"
`mds`	Logical, indicating whether and MDS plot of the dissimilarities should be drawn. Default is FALSE