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Having 12 clusters fit the dataset so that all the values were affiliated with a specific cluster.
The volume and shape can be equal or variable among axes to assess, for example, whether elliptical clusters fit better than round ones.
Reinforcing this idea is the fact that the GO terms, supported by each of the 100 resulting clusters, fit very well with the direct functional annotation deduced from the two signatures DMD+ and DMD-.
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Out of 3134 clusters fitting our inclusion criteria, 87 were located on gene-less scaffolds, whilst 1014 were located outside the candidate genic regions.
The annotations of many genes belonging to these three clusters fitted what is known about different processes occurring during seed development.
The chapter distinguishes between supervised and unsupervised learning, demonstrating the advantages of the latter, and showing how methods such as clustering fit into the SPR framework.
An optimal group clustering fit revealed 7 RSNs.
We report on a voxel based model-free normalized cut graph clustering approach with whole brain coverage for group analysis of resting-state data, in which the number of RSNs is computed as an optimal clustering fit of the data.
To confirm that the optimization procedure resulted in a stable clustering fit of Ggrp, the overlap of the clustering solutions with a cut-off threshold varying around the found optimum of 9 was calculated.
Components required eigenvalues over 1 and were varimax rotated, to produce the best cluster fit.
The final number of clusters is selected using a heuristic that integrates both a statistical-based measure of cluster fit and characteristics of the resulting Hospital Groups.
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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