BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space. (arXiv:2206.10747v1 [cs.LG])

The lack of freely available (real-life or synthetic) high or ultra-high
dimensional, multi-class datasets may hamper the rapidly growing research on
feature screening, especially in the field of biometrics, where the usage of
such datasets is common. This paper reports a Python package called
BiometricBlender, which is an ultra-high dimensional, multi-class synthetic
data generator to benchmark a wide range of feature screening methods. During
the data generation process, the overall usefulness and the intercorrelations
of blended features can be controlled …

arxiv biometric data feature generator lg space synthetic data