There was a weak trend towards reduced interconnectivity across the data as the number of samples increased, with the full dataset showing a slightly larger skew in the number of weakly interconnected samples than any of the subsets (Figure 6 ). 4 DISCUSSION 4.1 Is interconnectivity a better indicator of instability?
← all excerpts
Beyond central-tendency: If we agree discrete vegetation communities do not exist, should we investigate other methods of clustering?
2
—
—
The sentences
However, cluster solutions generated using a neighbourhood size proportional to the number of samples (prop) in combination with symmetric link (SL) edge weighting had marginally higher classification stability on average (Table S1 ), as reflected in a marginal significance test for the interaction term in analysis A (Table S2 ).