Research on music influence evaluation based on fuzzy comprehensive evaluation and principal component analysis

Yongna Yuan; Zhijie Yang; Zhongyue Wang; Yufei Wang

doi:10.1117/12.2627107

2 March 2022 Research on music influence evaluation based on fuzzy comprehensive evaluation and principal component analysis

Yongna Yuan, Zhijie Yang, Zhongyue Wang, Yufei Wang

Author Affiliations +

Proceedings Volume 12158, International Conference on Computer Vision and Pattern Analysis (ICCPA 2021); 121580F (2022) https://doi.org/10.1117/12.2627107
Event: 2021 International Conference on Computer Vision and Pattern Analysis, 2021, Guangzhou, China

Abstract

This article aims to describe, analyze and model three data sets, and to obtain the influence and change between different artists or music genres. Through this article, it provides a reference for the significance of music to the development of society.First, the paper uses the data to build a directed graph from influencers to followers, and calculate the influence of musicians through the degree. Secondly, we use the fuzzy comprehensive evaluation method and the influence of each genre, the number of musicians of each genre and other data to establish a music influence evaluation model, and evaluate and score all the genres. Then the five principal components obtained by principal component analysis are used as new attributes. Finaly, through the cosine similarity method, the attributes are vectorized to calculate the similarity between artists.

Citation Download Citation

Yongna Yuan, Zhijie Yang, Zhongyue Wang, and Yufei Wang "Research on music influence evaluation based on fuzzy comprehensive evaluation and principal component analysis", Proc. SPIE 12158, International Conference on Computer Vision and Pattern Analysis (ICCPA 2021), 121580F (2 March 2022); https://doi.org/10.1117/12.2627107

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