A New DBSCAN Parameters Determination Method Based on Improved MVO

A New DBSCAN Parameters Determination Method Based on Improved MVO

Density-based spatial clustering of applications with noise (DBSCAN) is a typical kind of algorithm based on density clustering in unsupervised learning. It can cluster data of arbitrary shape and also identify noise samples in the dataset. However, an unavoidable defect of the DBSCAN algorithm exis...

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Bibliographic Details
Main Authors: Wenhao Lai, Mengran Zhou, Feng Hu, Kai Bian, Qi Song
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Improved MVO
DBSCAN
parameter optimization
unsupervised learning
Online Access:https://ieeexplore.ieee.org/document/8777081/

Internet

https://ieeexplore.ieee.org/document/8777081/

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