A novel clustering algorithm based on the gravity-mass-square ratio and density core with a dynamic denoising radius

التفاصيل البيبلوغرافية
العنوان: A novel clustering algorithm based on the gravity-mass-square ratio and density core with a dynamic denoising radius
المؤلفون: Qiang Gao, Ge-Ge Li, Min Zhang, Yu-Qin Wang, Yu-Fang Zhang, Zhongyang Xiong, Qin-Qin Gao
المصدر: Applied Intelligence. 52:8924-8946
بيانات النشر: Springer Science and Business Media LLC, 2021.
سنة النشر: 2021
مصطلحات موضوعية: Core (optical fiber), Gravity (chemistry), Artificial Intelligence, Computer science, Noise reduction, Mathematical analysis, Radius, Cluster analysis, Square (algebra)
تدمد: 1573-7497
0924-669X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f711f24e2eaf5b42c0078080d6ab9a28
https://doi.org/10.1007/s10489-021-02753-0
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........f711f24e2eaf5b42c0078080d6ab9a28
قاعدة البيانات: OpenAIRE