A New Inductive Learning Algorithm--Separability-Based Inductive Learning Algorithm
一种新的归纳学习算法——基于特征可分性的归纳学习算法

A new separability-based inductive learning algorithm is proposed in this paper. The algorithm is different from existing inductive learning algorithms. Starting directly from the separability of features for different classes, building a separability criterion, then forming a decision tree, the algorithm can classify multiclass concepts. The algorithm is intuitive, simple, and convenient for computation. Its effectineness is illustrated by an example in this paper.