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The classification algorithm mainly aims at categorizing the whole image blocks (i.e., range and domain blocks) into three discrete classes.
To capture possible nonlinearities, we map the continuous variables which are shares from 0 to 1 into three discrete classes based on their distribution: "low" if the share is between the 1st and 33rd percentiles; "medium" if it is between the 33rd and 66th percentiles; and "high" if it is above the 66th percentile.
Model M3 classifies sites in the sequence into three discrete classes with ω estimated from the data [ 56].
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For the same years, egg counts along the leaders were summarized into five discrete classes.
We find that promoter regions ("peaks") tend to fall into two discrete classes.
The divergence in GWAS was stronger with data coded into two discrete classes.
Interspecific variation in avian colour vision falls into two discrete classes: violet sensitive (VS) and ultraviolet sensitive (UVS).
We also measured the diameter at breast height (DBH), and grouped them into five discrete classes (< 40 cm to > 160 cm, with 40 cm intervals).
In general, interspecific variation in avian colour vision falls into two discrete classes, which are characterised by the spectral sensitivity of the most shortwave sensitive of the four single cones, the SWS1 [ 1] (the other, more long-wave sensitive being SWS2, MWS and LWS).
Attack rates in 2000 and 2001 (atk2000, atk2001) were classified as successful 'top kills', 'failure' to kill the leader and 'no attack' [ 43], in addition, for the same years, egg counts along the leaders (egg2000, egg2001) were summarized into five discrete classes (successful egg laying was recognized as feeding punctures that contain egg covering fecal plugs), R. Alfaro, pers.
This analysis used three discrete classes for M3.
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CEO of Professional Science Editing for Scientists @ prosciediting.com