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This approach reduces a complex set of data to a lower dimension, by representing the behavior of the structure through the few variables.
Instead of modeling the crack growth in this high dimensional data space, we project the data to a lower dimensional space using Principal Component Analysis (PCA) and then model the crack growth in this lower dimensional space.
a service cannot write data to a lower security level than its own location.
Principal Component Analysis [21] is another approach to reduce the number of variables, which compresses high dimensional data to a lower one by transforming to uncorrelated variables.
Locally linear embedding (LLE), as a representative manifold learning technique, is a nonlinear dimension reduction method by mapping the high-dimensional data to a lower dimensional space while preserving the essential properties of the raw data.
In the previous section we proposed two algorithms to tackle the memory requirements of the BBA when dealing with large image sets: the solution is to reduce the amount of processed data to a lower, but sufficient, number of tie-points.
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Linear interpolation is often used to regrid evenly-spaced data, such as longitude / latitude gridded data, to a higher or lower resolution.
The objective of VQ is to statistically preserve the topological relationships existing in a data set and to project the data to a lattice of lower dimensions, for visualization, compression, storage, or transmission purposes.
While there are insufficient data to guide a lower limit for SBP in DKD, there is an adverse safety signal in clinical trials when DBP is treated to below 70 mmHg, and particularly below 60 mmHg, especially in older populations (42).
In contrast, the JNC 8 panel concluded that based on these trials there were not sufficient good quality data to recommend a lower target DBP.
There are presently no data to support a lower CD88 expression on younger cells, but the negative correlation between granulocyte count and CD88 expression on day 15 may be consistent with such a mechanism.
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