Prediction Model in Statistics Data Based on Improved Cluster and Neural Network

This paper presents a new prediction model, which combines the clustering with neural network. The existed clustering algorithm has the shortcoming that can not determine the clustering number K, so this paper combines it with the concept of rough set to improve, and tests it on the IRIS data, Then this paper presents the new forecasting model which combines improved clustering algorithm and neural networks to improve the prediction accuracy more effectively, and tests it in statistics data.