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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.
These data were classified into 24 vegetation alliances (Wiser et al. 2011).
The data were classified into censored and uncensored data to distinguish between safe crossing and red-light running behavior.
Measured durations of individual particle emission pulses were assumed to represent their burn times; these data were classified into logarithmically spaced time bins.
Similar(22)
Data is classified into directional clusters by correlation criterion.
Initially, the well log data are classified into a set of electrofacies (EF).
The generated data are classified into various inverse kinematics solutions manifolds.
The patient's data is classified into emergency, periodic and non-emergency data.
The patient data are classified into normal, periodic and emergency data.
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