Piecewise-Linear Approach to Classification Based on Geometrical Transformation Model for Imbalanced Dataset

摘要

The article describes the method of cost-sensitive classification for imbalanced dataset based on neural-like structure of successive geometric transformations model using piecewise-linear approach to classification. The proposed method characterized by high learning speed and accuracy of classification.