Intelligent data analysis method for pension information service system

The invention relates to the technical field of physiological data processing, in particular to an intelligent data analysis method for an old-age care information service system. According to the method, the data structure similarity between samples under each dimension and the data anomaly degree of each sample in each day under each dimension are obtained; further combining the relative distance between the data sequences of the corresponding samples in each day to obtain the distance measurement between the samples; obtaining the local range density of each sample; in the process of performing CURE clustering on all the samples, obtaining an initial sample cluster; randomly taking a preset number of samples in each initial sample cluster as a group of representative points, obtaining the representative degree of each group of representative points, screening out an optimal representative point group, clustering the initial sample clusters, obtaining a clustering result, and serving the old people. Accordi