Your English writing platform
Discover LudwigSuggestions(1)
Exact(5)
We propose a method for locating isolated modes (or better, modal regions) in a multivariate data set without pre-specifying their total number.
In summary, a new method has been discussed to find the hidden universal structure in a multivariate data set.
A new method was presented to estimate the strength of hidden universal structure in a multivariate data set.
The PDC is a multivariate spectral measure used to determine the directed influences between any given pair of signals in a multivariate data set (see also Methods S5).
By modeling the data using PCA, the variance in a multivariate data set containing many instrument-derived components is reduced to a few orthogonal variables, called principal components, that each accounts for a portion of the variance in the data set.
Similar(55)
MCDCOV computes the MCD estimator of a multivariate data set.
This method is a clustering algorithm which aims to break a multivariate data set into groups.
The U.S. Department of Health and Human Services keeps track of a variety of health care indicators across the country, resulting in a large geospatially multivariate data set.
PCA is one of the oldest and most widely used methods to study dependencies in multivariate data set containing multiple variables and objects.
Orthogonal projections to latent structures-discriminant analysis (OPLS-DA) [ 18, 20] is a multivariate classification technique used for finding patterns in large multivariate data sets that describe differences between the groups under study.
For that reason, accounting for missing data by MI using 5 imputed data sets was in our multivariate data setting the most optimal choice to reduce the uncertainty in model derivation caused by missing values.
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