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Fortunately, the node depth is an optional term.
depth: the 16-bit node depth in the logical tree.
We can see from this table that the dominant feature changes depending on the node depth in DTs.
The "Unrest" node turns out to be sensitive simply to the occurrence of earthquakes; at the "Magmatic" node, depth of hypocenters and waveforms become relevant; finally, acceleration of seismic activity is believed to be critical at "Eruption" node.
Each node has the following information (dynamically assigned by the master, identified by lowercase names): address: the 16-bit local network address depth: the 16-bit node depth in the logical tree.
The maximum number of descendant nodes in depth d, Dn(d), can be calculated as (9); from which, it may be concluded that as the node depth decreases, the increase of the number of descendants is exponential approximately: Dn d = R m Lm − d + R m Lm − d − 1 Rm − 1 Cm − Rm 0, d < Lm, d = Lm (9).
Similar(36)
First, all node depths were standardized by dividing them by the shallowest node (largest number) in their tree to get relative node depths for each data set.
The last row of pooled data reports mean relative branch lengths and mean relative node depths.
Relative branch lengths were calculated similarly to relative node depths as described above.
For the node depths, larger numbers indicate shallower nodes (i.e. those closer to the tips and farther from the root).
A summary of the mean branch lengths and mean node depths of branches in the combined-data trees for each clade, grouped by how they are resolved.
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