A Music Similarity Model Based on Data Analysis and Algorithm Application

Rapid analysis of the influences and musical similarities among a large number of composers and genres is of great significance to the study of music development and social change. In this paper, the similarity model based on Minkowski distance is proposed to realize the rapid evaluation, and the validity of the model is verified. It can quickly identify the similarity between music or music groups based on music features. Based on the analysis and mining of ICM data, the characteristics of the individual, genre development mode, influence, and change in music history are obtained.