Research on music evolution characteristics analysis based on factor analysis and Euclidean distance

Yutong Zhang; Su Li; Haorui Wang

doi:10.1117/12.2627075

2 March 2022 Research on music evolution characteristics analysis based on factor analysis and Euclidean distance

Yutong Zhang, Su Li, Haorui Wang

Proceedings Volume 12158, International Conference on Computer Vision and Pattern Analysis (ICCPA 2021); 121580E (2022) https://doi.org/10.1117/12.2627075
Event: 2021 International Conference on Computer Vision and Pattern Analysis, 2021, Guangzhou, China

Abstract

Music is an indispensable part of human society since ancient times. Its evolution is affected by the development of human history and has a wide impact on humans. This paper establishes a musical impact model based on factor analysis and a music similarity model based on the European distance model to quantify and analyze music evolution. First, we use Graph Theory, connect all artists, establish a network and draw an image. In order to measure the influence of each musicians, we selected three indicators, using TOPSIS to establish a factor-based music influence model. Finally, a subnet connected to the network is generated with five artists for the parent node. Next, we have retained 14 music characteristics in the complete music data related to the similarity of artist. We use factor analysis to reduce these 14 music features to obtain five representative main components. Finally, the SPSS software has established a music similarity model based on the Euclidean distance model, and the similarity of artists within the genre and the artists is calculated, 0.7842 and 0.7804, respectively. It can be seen that the artists of the same flow are more similar

Citation Download Citation

Yutong Zhang, Su Li, and Haorui Wang "Research on music evolution characteristics analysis based on factor analysis and Euclidean distance", Proc. SPIE 12158, International Conference on Computer Vision and Pattern Analysis (ICCPA 2021), 121580E (2 March 2022); https://doi.org/10.1117/12.2627075

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