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
A list including the recommend parameter to cut trees in HC
the separate overlap sub-clusters
sep.clu, and highly similar sub-clusters
statistics for merging
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