Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
Secondly, PCA, a factorization method, was utilized to extract factors explaining maximum variance of data.
Similar(59)
In the DFA results, DF1 expresses the maximum variance of the data and DF2 contains the rest of the variance in the data.
It retains maximum variance of multidimensional data whilst reducing their dimensionality.
The 2nd principal component (axis rotated by 139.6 degrees, labeled PC2) receives a lower amount of data, which corresponds to the second possible maximum variance of the input data.
It ensures that the first principal component is proportional to the maximum variance of the input data.
This is the maximum variance of the initial bi-variate data set.
Thus, the maximum variance of 1000 random distributions was only two-thirds that of the actual data.
To do so, PCA considers the maximum variance in the dataset, whereas MAD considers maximum autocorrelation, since it takes into account the maximum variance of the difference images.
σ x, y) is corresponding variance within current sub-block, σ max is maximum variance of all sub-blocks.
It minimizes the maximum variance of the predicted value of the regression model.
The experimental noise corresponds to a maximum variance of the 10%.
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