Weighting and Degrading Dimension Algorithm Based on Cloud Model
云模型用于特征加权及降维的算法

A cloud classifier based on swarm particle optimization （PSO） is presented, and used in the classification for multi-dimension object. The digital characteristic of cloud model is expected value Ex, entropy and super entropy He, the membership to which every attribute data of classified object belongs to its attribute set center is presents by 1-D cloud model. The digital characteristic of 1-D cloud model is optimized by swarm particle optimization （SPO）. The swarm particle optimization cloud classifier （SPOCC） is built from every attribute cloud model, and used in the classification of iris data set, the experiment result is very well.