14. February 2019
For example, in meteorological applications, instead of registering the whole time series of some temperature measurement, it may be much more effective to assess only the extrema of this series during one-hour intervals. Similarly, when describing the underlying probability distributions of the multivariate training data sets for predictors of production processes, it may be much more valuable to use key geometric qualities of the underlying probability density of the data into the Training.
