Portrait analysis method and device based on big data, computer device and storage medium

Abstract

The invention discloses a portrait analysis method and device based on big data, a computer device and a storage medium. The method comprises: acquiring a portrait analysis request, screening out to-be-analyzed portrait data meeting a target screening condition based on the portrait analysis request, wherein the to-be-analyzed portrait data comprising to-be-analyzed portrait factors and to-be-analyzed factor values corresponding to the to-be-analyzed portrait factors; standardizing the to-be-analyzed factor value to obtain a standardized factor value; performing weight analysis on the portraitfactor to be analyzed and the corresponding standardized factor value by adopting a CRITIC method to obtain a weight value; screening the portrait factors to be analyzed according to the corresponding weight values, and determining the portrait factors to be selected; performing dimensionality reduction on the portrait factor to be selected by adopting a PCA method to determine the portrait factor as a target portrait factor; and clustering the target portrait factor and the corresponding standardized factor value by adopting a Kmeans clustering algorithm to obtain a target object. By adopting the method for portrait analysis, the clustering efficiency can be improved.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a big data-based image analysis method, device, computer equipment and storage medium. Background technique [0002] At present, in order to better arrange the work of enterprise employees, the company generally conducts cluster analysis on the user portrait data of enterprise employees through clustering methods to determine the group attributes of enterprise employees in order to better arrange work. Or, in order to better expand the enterprise business, the current company generally uses a clustering method to perform cluster analysis on the user portrait data of the enterprise customers to determine the group attributes of the enterprise customers, so as to better expand the enterprise business. [0003] In the current process of user portrait data analysis, the number of portrait factors corresponding to user portrait data is huge, and these portrait factors correspond...

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a big data-based portrait analysis method, device, computer equipment, and storage medium to solve the problems of large amount of calculation, long time and unsatisfactory clustering effect when analyzing user portrait data

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