Uses a heuristic similar to the one described in Section 3.1 of the original Mapper paper to cut a given hierarchical tree to produce a partitioning of the data.
cutoff_first_threshold(hcl, threshold = 0, ...)
| hcl | hierarchical clustering in the form an 'hclust' object. |
|---|---|
| threshold | density threshold. |
| ... | Additional parameters passed to |
The cut-off value to use with cutree.
The cut value is chosen as the lowest (interpolated) height value where the density of linkage distances is lower than or equal to
a given threshold value. Note that while this method offers a smooth alternative to cutoff_first_bin and may provide empirically better
clusterings, it's noticeably slower due to the call the density.