Your English writing platform
Discover LudwigSuggestions(2)
Exact(6)
There are techniques for reducing dimensionality.
We also utilize locality sensitive hashing for reducing dimensionality.
In this paper, we propose a new feature selection method, called query expansion ranking (QER) which is especially developed for reducing dimensionality of feature space of SA problems.
Section 2.1 nicely summarizes matrix methods for reducing dimensionality in microarray data.
The choice of feature transformation or feature selection should be based on the specific problem for reducing dimensionality.
Mainly PCA is a projection method used for reducing dimensionality in a given dataset by capturing the most variance by a few orthogonal subspaces called principal components (PCs).
Similar(54)
The transients of the Mn-related luminescence can be quantitatively described on the basis of a modified Förster model accounting for reduced dimensionality.
Principal component analysis is used to pre-process the data for removing noise and reducing dimensionality.
A PCoA was done for shown isolates in a space of reduced dimensionality.
Here, we propose the use of MCE for embedding a network into a space of reduced dimensionality.
We therefore aimed at reducing dimensionality by extracting the smallest number of components that accounted for most of the variation in the original multivariate data.
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