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Reduced data for all glasses were compared using bivariate plots.
These methods enable to find interesting knowledge patterns from big data streams to produce highly relevant and reduced data for further analysis.
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We then derive an exact functional representation of a V50 'master curve' found empirically by Cunniff [ibid] to reduce data for a wide variety of fabric systems impacted by blunt cylindrical projectiles.
We used factor analysis (principal components) to identify underlying structure among the 12 attitudes items and to reduce data for subsequent analyses.
DB conducted a reduced data extraction for all potentially eligible studies, and a full data extraction for 20% of the potentially relevant studies, with 95% agreement between GP and DB.
With the reduced data matrices for each chemical datasets, QSAR models were built with the MLR technique to determine the relationship between the response (activity) and predictor variables (MDs).
The centroids resulting from clustering the 50 reduced data sets for each condition are compared and their stability is shown.
To reduce the number of parameters while keeping the majority of sequence variation, we used reduced data sets for model determination.
We calculated the difference in θπ of the full data set to the respective values obtained using the reduced data set (for example coverage: 5, 10, 20 etc).
Final analysis proceeded with the reduced data set for full Bayesian analysis, with support under other criteria (parsimony, distance) indicated where appropriate.
The differential encoder will usually produce a significantly reduced data rate for the same visual quality (Q) since it de-correlates the pixel data in both space and time, resulting in more zeros in the DCT coefficient matrix.
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CEO of Professional Science Editing for Scientists @ prosciediting.com