Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
A novel input variable selection method based on nearest correlation spectral clustering (NCSC) has been proposed, and it is referred to as NCSC-based variable selection (NCSC-VS).
Similar(59)
The classification is performed based on nearest neighbor (NN) classifier.
Lithostratigraphic correlation was done based on well logs.
The mean expression value of each group was taken, and a nearest neighbor approach based on the correlation coefficient was used to assign other genes to each of the expression patterns.
Subtype membership was assignment was based on the nearest PAM50 centroid (Pearson correlation) [ 16].
The present work proposes a new systematic methodology to select input variables for PLS using nearest correlation spectral clustering (NCSC), which is a clustering method based on the correlation among variables.
The air pollution estimates were similar based on the nearest monitor and IDW methods (correlation coefficients > 0.87); therefore, we report estimates based on IDW methods only.
To further validate whether the global gene expression is different in each origin cell, we evaluated the classification accuracy by leave-one-out cross-validation (LOOCV) on the nearest-neighbor classifier, based on Pearson's correlation distance.
Furthermore, the above relationship between the hiPSCs and the parental SCs was verified by estimating the classification accuracy by leave-one-out cross-validation (LOOCV) on the nearest-neighbor classifier, based on Pearson's correlation distance (see additional file 5: Cross validation of cell classification).
This analysis is based on the correlation between recent dollar moves and the stock and bond markets.
Indicators ranking based on the correlation of rates of growth. .
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