Clustering-based intelligent ensemble learning classification method

The invention belongs to the technical field of machine learning and data mining, and provides a clustering-based intelligent ensemble learning classification method, which integrates a clustering algorithm, a classification algorithm, an intelligent optimization algorithm and other algorithms, solves the problem of classification model construction under class overlapping in the existing research, and improves the classification efficiency. The problem of combination output by the base classifier in integrated learning and the problem of how to optimize when the model relates to multiple parameters are solved, so that the prediction precision of the classification problem is improved. Therefore, by adopting the clustering-classification integrated modeling method provided by the invention, the data space can be effectively segmented, so that the overall prediction performance of the model is improved. Meanwhile, by adopting the combination strategy and the parameter optimization method provided by the invent