Sentence examples for data were classified from inspiring English sources

Data were classified according to a multilingual thesaurus system (LanguaL).

All data were classified into four classes based on a new bio-optical classification method.

After processing, SAR data were classified into three hydrological classes: unsaturated, saturated and inundated.

The gait data were classified into four classes: normal, crouch-2, crouch-3, and crouch-4.

Landsat Thematic Mapper 5 data and ancillary data were classified using the random forests approach.

Raw LiDAR data were classified by the vendor into three categories: ground, vegetation and error returns.

These data were classified into 24 vegetation alliances (Wiser et al. 2011).

Data were classified according to the metabolic profile using a multivariate analysis in principal component analysis.

The collected microblog data were classified based on the geographic location of the posters.

Using the selected set of parameters, on average, 93.7% of the test set data were classified correctly.

The data were classified into censored and uncensored data to distinguish between safe crossing and red-light running behavior.