Disjunctive Learning with a Soft-Clustering Method

摘要: In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, disjunctive description needed. This problem, known as learning, mainly solved by greedy methods, iteratively adding rules until all examples are covered. Each rule determined properties, where power computed set. defines subconcept be learned with these methods. The final set sub-concepts then highly dependent both method.