Comparison of SVM, KNN, and NB Classifier for Genre Music Classification based on Metadata-Reference-Cited by-同舟云学术

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Comparison of SVM, KNN, and NB Classifier for Genre Music Classification based on Metadata

Published:2020-09-19 Issue: Volume: Page:
ISSN:
Container-title:2020 International Seminar on Application for Technology of Information and Communication (iSemantic)
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Author:

Ignatius Moses Setiadi De Rosal,Satriya Rahardwika Dewangga,Rachmawanto Eko Hari,Atika Sari Christy,Irawan Candra,Kusumaningrum Desi Purwanti,Nuri ,Trusthi Swapaka Listya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9234188/9234189/09234199.pdf?arnumber=9234199

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rigdelet neural network and improved partial reinforcement effect optimizer for music genre classification from sound spectrum images;Heliyon;2024-07

2. Performance Analysis of Deep Learning and Machine Learning Methods for Music Genre Classification System;Journal of Soft Computing Paradigm;2024-06

3. Distance Metric Analysis in Recommendation System Using Content-Based Filtering Method;2023 6th International Conference on Information and Communications Technology (ICOIACT);2023-11-10

4. Music Genre Classification using various Machine Learning Algorithms;2023 International Conference on Advanced Computing Technologies and Applications (ICACTA);2023-10-06

5. SVM Versus KNN: Prediction of Best Image Classifier;Intelligent Systems and Sustainable Computing;2023

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