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Models for data patterns are obtained from the data points in the subspace computed by MasterMiner's hidden projection algorithms.
- Models are represeted by two groups of mathematical
expressions, as shown in the figure below.
- inequalities as the planar surfaces that segment data points of good samples from those of bad samples in the hyper-space
- a set of two linear equations of all factors, obtained in the vector diction of the two major components in the full feature space.
