Sentence examples for used for data reduction from inspiring English sources

CATPCA is often used for data reduction.

PCA is used for data reduction and for deciphering patterns within large sets of data.

Principal component analysis (PCA) is a multivariate statistical technique used for data reduction and for deciphering patterns within large sets of data (Farnham et al. 2003).

PCA is a multivariate statistical technique mostly used for data reduction (i.e., larger number of variables into smaller numbers of components) and express the data as a set of new orthogonal variables called principal components (PCs) (Abdi and Williams, 2010; Abson et al., 2012; Schürer and Penkova, 2015).

Following data collection, tools for spectral alignment and peak picking were used for data reduction.

PCA is a statistical technique used for data reduction.

We can note that the most common approach deals with latent semantics through Latent Semantic Indexing (LSI) [2, 120], a method that can be used for data dimension reduction and that is also known as latent semantic analysis.

For this aim, before classifying with CVANN, PCA method was used for feature extraction in PCA-CVANN architecture and FCM algorithm was used for data set reduction in FCM-CVANN architecture.

In this study, PCA was used both for data reduction and identification of the dominant factors that explain household's resilience to flood disasters.

The CrysAlis software package [82] was used for data collection and reduction.

A customised program (MAHUffe; www.mrc-epid.cam.ac.uk) was used for data cleaning and reduction.