Your English writing platform
Discover LudwigExact(1)
This method differs from traditional PCA analysis in that it minimizes within group variability.
Similar(59)
The k-means method is a simple, non-parametric clustering method that minimizes within-cluster variability and maximizes between cluster variability.
In this paper, we propose a Multiple-Instance Feature Extraction (MIFE) framework to design algorithms at both the bag and instance levels based on the Maximum Trace-Difference criterion, which simultaneously maximizes between-class scattering and minimizes within-class scattering.
Thus, a more prescriptive intervention that controls the types of F&Vs more tightly and minimizes within-group variation in chemical composition may provide a different answer.
Although this normalization minimizes within-array spatial biases, there is still a difference in overall signal intensity between arrays, which makes it difficult to compare them.
The present analyses show that using the solution that minimizes within-cluster variance can lead to anatomically meaningful solutions, at least for the insula.
This method maximizes between- and minimizes within-group variability by conducting a principal components analysis on genetic data, before submitting those principal components to a discriminant analysis.
The informativeness metric satisfies properties of both a compactness metric and a stability metric, since it leverages the ANOVA framework to detect the number of clusters that minimizes within-cluster variance but equally requires these profiles to be consistent across the samples collected.
Their high inbreeding level minimizes within-line genetic variation and their distinct pathogen responses between lines provide an opportunity to identify DNA methylation differences between disease resistant and susceptible chicken lines and to explore the potential biological role of DNA methylation on immune response.
For the CTree, nodes are split to minimize within-node impurity.
This objective function is called sum-of-squared errors (SSE), which corresponds to minimizing within-cluster variances.
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