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This allows for data reduction.
CATPCA is often used for data reduction.
Probabilistic models were introduced for data reduction.
The authors employed the first approach for data reduction.
Methods for data reduction or compression must be included.
Spatial DFA gave best results for data reduction method.
Sampling techniques are also employed in situ for data reduction.
PCA is used for data reduction and for deciphering patterns within large sets of data.
Figure 7 An illustration of the random subsampling pattern employed for data reduction.
Nowadays, SoS is contributing to generate big data and raises the need for data reduction.
The CLiPS uses several preprocessing techniques for data reduction to deal with large size of data.
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