Music emotion classification based on random swap algorithm
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DOI: 10.1038/s41598-025-22336-0
Abstract: We performed an unsupervised cluster analysis of emotions in music. We considered ten distinct perceived emotions (happy, sad, amusing, annoying, anxious, relaxing, dreamy, energizing, joyful, and neutral) from four genres (rock, pop, classical, and electronic).… read more here.
Keywords: music emotion; emotion; random swap; emotion classification ... See more keywords
Efficiency of random swap clustering
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Big Data"
DOI: 10.1186/s40537-018-0122-y
Abstract: Random swap algorithm aims at solving clustering by a sequence of prototype swaps, and by fine-tuning their exact location by k-means. This randomized search strategy is simple to implement and efficient. It reaches good quality… read more here.
Keywords: random swap; number; random; swap clustering ... See more keywords