Visual Analysis of the Evolution of Traditional Chinese Ethnic Clothing Design Styles Based on Big Data and Artificial Intelligence

This paper adopts the combination of big data and artificial intelligence to process the data on the evolution of Chinese traditional ethnic clothing design styles by using an ant colony algorithm and storing the processed data in a large database. According to the probability analysis, there are 618 data results obtained, and these related literature data were analyzed by word frequency analysis and clustering to calculate the relationship between the data and complete the data visualization analysis. According to the clustering analysis of 618 data, there were 21 abnormal data sets compared to the actual value of 22. Only one data set had a difference. The comprehensive analysis result is more satisfactory and has a reference value for analyzing the evolution of Chinese traditional ethnic clothing design style.