Determine key features of each overlap clusters.
KeyFeature(cdata, cri, sum.clu)Overlap clustering result.
A tuning parameter, if p value smaller than cri, then reject
the NULL hypothesis and merge overlap sub-clusters. And cri can be any numeric less
than 1, if cri = 1 then the criteria will be reset to 0.05/N
(N is the number of all overlap sub-cluster), and if cri = 2 then the
criteria 0.05/N(N-1).
A list including the recommend parameter to cut trees in HC scrit0, scrit1,
the separate overlap sub-clusters sep.clu, and highly similar sub-clusters mer.clu,
statistics for merging clu.math.stat