Efficient Training Support Vector Clustering With Appropriate Boundary Information

Efficient Training Support Vector Clustering With Appropriate Boundary Information

Due to the remarkable capability in handling arbitrary cluster shapes, support vector clustering (SVC) benefits data analysis in terms of data description. However, large-scale data such as network traffic frequently makes it suffer from highly intensive pricey computation and storage for solving th...

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Bibliographic Details
Main Authors: Yuan Ping, Bin Hao, Huina Li, Yuping Lai, Chun Guo, Hui Ma, Baocang Wang, Xiali Hei
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Support vector clustering
shrinkable boundary selection
dual coordinate descent
traffic analysis
intrusion detection
Online Access:https://ieeexplore.ieee.org/document/8861320/

Internet

https://ieeexplore.ieee.org/document/8861320/

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