A novel density peak clustering algorithm based on squared residual error

A novel density peak clustering algorithm based on squared residual error

The density peak clustering (DPC) algorithm is designed to quickly identify intricate-shaped clusters with high dimensionality by finding high-density peaks in a non-iterative manner and using only one threshold parameter. However, DPC has certain limitations in processing low-density data points be...

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Bibliographic Details
Main Authors: Parmar, Milan, Wang, Di, Tan, Ah-Hwee, Miao, Chunyan, Jiang, Jianhua
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2018
Subjects:
Clustering
Density Peak Clustering
DRNTU::Engineering::Computer science and engineering
Online Access:https://hdl.handle.net/10356/89594
http://hdl.handle.net/10220/47062

Internet

https://hdl.handle.net/10356/89594
http://hdl.handle.net/10220/47062

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