在先前指标的基础上提出了一种改进的聚类有效性指标,该指标以紧密性和分离性之比定义,不仅体现了数据的隶属度和几何结构的相关信息,同时也反映了数据的分布情况.实验表明,该指标可以使数据集实现正确划分,具有较高的可靠性.
An improved validity index is proposed in this paper, which is based on previous indices. This improved index, defined by the ratio of separation measure and compactness measure, not only contains the information of data membership degree and data structure, but also shows the character of data distribution. Experiments results prove that the improved index can make a correct partition of datasets. Compared with other indexes, it is relatively more effective.