Your English writing platform
Discover LudwigSuggestions(2)
Exact(60)
We analyze the grades with two complementary methods: principal component and cluster analysis.
The data were analyzed using correlation, principal component and stepwise multiple regression.
Subsequently, principal component and cluster analysis are applied to build the composite index.
Standardized trait mean values were used to perform principal component and hierarchical cluster analysis.
Principal component and cluster analyses were used to identify geographical and altitudinal patterns of tree growth.
Developments in statistical signal processing using principal component and independent component analysis are also considered.
Sharov, A. A., Dudekula, D. B. & Ko, M. S. A web-based tool for principal component and significance analysis of microarray data.
The accessions were divided into 3 categories of P efficiency using principal component and cluster analyses, and 4 categories according to the retained principal component and their relative weight for each genotype in combination with growth or yield potential.
Significant positive, linear correlations were found between the first principal component and percent area flooded and soil moisture.
The fault classifications are displayed through the information that got from the first and the second principal component and kernel principal component, and these demonstrate they have a different and good effect of classification.
Solar radiation is the principal component and the natural wind also affects the thermal behaviors of stratospheric airship during ascent.
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