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Based on a competitive training approach, this type of model is capable of clustering input data according to their similarities and may be later of use for pattern classifications (Haykin 1999; Kohonen 1982).
The premise behind this is that documents that contribute more overall similarity to the solution space should contribute more similarity pairs to the clustering input.
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Although textual coherence does distinguish between the textual similarity approaches as will be shown below, we note that use of this measure may not be unbiased, simply because the validation inputs (title and abstract words) are not independent of the clustering inputs (title and abstract words or MeSH terms).
This algorithm causes each group of radial basis functions to adapt to regions of the clustered input space.
In 13 of the 23 patients, BPND values derived from the supervised cluster input were systematically smaller than those using the cerebellar input.
With the supervised cluster input function, five of seven tumours (71%%) with high RIsuper showed GM-like TACs and the remaining two showed mixed TACs.
This observation indicates either underestimation of BPND by the supervised cluster input and/or overestimation by the cerebellar input, suggesting that at least one of the approaches may be subject to bias.
Supervised cluster input and cerebellar GM input produced BPND estimates in good agreement with one another in approximately half of the glioma patients, but showed consistent discrepancies, albeit correlated BPND, in the other half.
However, in the other 13 of 23 patients, BPND values in both the tumour and brain using the supervised cluster input function were consistently smaller than those calculated using the cerebellar input function.
Although such contamination altered the performance of cerebellar GM input when compared with supervised cluster input, it should not affect the use of cerebellar GM as a reference tissue, since previous studies have adopted the total cerebellum as the input function [ 2, 10, 20– 20].
Here we show that single presynaptic axons form multiple, spatially clustered inputs onto the distal, but not proximal, dendrites of CA1 pyramidal neurons.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com