Quantum algorithm for MMNG-based DBSCAN
Abstract DBSCAN is a famous density-based clustering algorithm that can discover clusters with arbitrary shapes without the minimal requirements of domain knowledge to determine the input parameters. However, DBSCAN is not suitable for databases with different local-density clusters and is also a ve...
Guardado en:
Autores principales: | Xuming Xie, Longzhen Duan, Taorong Qiu, Junru Li |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5fbf1dc30afe45c7bafe2b97a72a99a0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A rapid density method for taxi passengers hot spot recognition and visualization based on DBSCAN+
por: Zihe Huang, et al.
Publicado: (2021) -
Enhanced Performance of PAM7 MISO Underwater VLC System Utilizing Machine Learning Algorithm Based on DBSCAN
por: Meng Shi, et al.
Publicado: (2019) -
A quantum algorithm for evolving open quantum dynamics on quantum computing devices
por: Zixuan Hu, et al.
Publicado: (2020) -
Privacy-preserving Quantum Sealed-bid Auction Based on Grover’s Search Algorithm
por: Run-hua Shi, et al.
Publicado: (2019) -
Universal quantum simulation of single-qubit nonunitary operators using duality quantum algorithm
por: Chao Zheng
Publicado: (2021)