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As Section 4.3 reveals, regularization brings about benefits for multivariate data also with a small number of variables.
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Moreover this multivariate data analysis also offers exceptional data visualization.
Multivariate data analysis also showed an association between health status and e-health seeking.
This level of aggregation in the multivariate data is also able to be determined with manageable false alarm rates.
Differences in probabilities of species occurrences among wind farm potential categories were compared with univariate permutation tests using Euclidean distance as implemented in procedure MRPP in PC-ORD (McCune and Mefford 2011b); although MRPP is often performed with multivariate data, it can also be used in the univariate context (Mielke and Berry 2001).
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).
For multivariate data heatmaps can also rearrange rows and columns so that similar entities and variables are grouped together and each is represented by a dendrogram.
Paper thickness and homogeneity are important for this research as they affect the repeatability of spectra and thus reliability of multivariate data analysis, and may also affect the local stability of paper.
Previous studies [ 7, 19] showed that the GCS score was significant and independent factors for predicting memory/processing speed dysfunction; our multivariate analysis of the patient data also determined that only GCS grading was a significant factor.
Data were also investigated with multivariate data analysis (MVDA) using appropriate software (SIMCA; Umetrics AB, Umeå, Sweden).
We also performed a multivariate data analysis by employing the algorithm known as Regularized Least Squares (RLS) [ 45].
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