Your English writing platform
Discover LudwigExact(23)
This variant will help us figure out the appropriateness of our choice of vector quantization to determine the starting point of our clusters in the feature space.
Although there was indeed a direct matching between Taylor's Workers and Shirkers and our Achievers and Underachievers respectively, Taylor's Lurkers were covered by two of our clusters, the Late Awakeners and the Disheartened students.
This may be an underestimate if a significant fraction of our clusters represent two or more gene products.
The genes in one of our clusters may have very different expression profiles.
Figure 9 shows interesting association of our clusters of discriminative genes with metabolic networks.
We compared each of our clusters with the shared types (STs) present in SpolDB4.0 [ 29].
Similar(37)
That is the basics of our cluster-based job dispatching.
Numerical simulations are provided finally to verify the advantages of our clustering scheme.
The robustness and performance of our clustering results are compared to those of Kagawa et al.
Figure 10 shows the performance evaluation of our clustering algorithm as a function of vehicle density.
The experimental results show improved performance of our clustering approach compared to baseline methods.
Write better and faster with AI suggestions while staying true to your unique style.
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