I am trying to implement section 3.4 of paper Predicting Important Objects for Egocentric Video Summarization where they have created a distance matrix of frame histograms.
In short, let say
Ω is mean of distances between all frames,
DVis distance matrix.
I didn't understand what is meant by this:
We next perform complete-link agglomerative clustering with DV , grouping frames until the smallest maximum interframe distance is larger than two standard deviations beyond Ω
Can this be achieved by setting the
cutoff value to
2Ω in Matlab's clusterdata function ?