Unique Neighborhood Set Parameter Independent Density-Based Clustering With Outlier Detection

Unique Neighborhood Set Parameter Independent Density-Based Clustering With Outlier Detection

Machine learning algorithms such as clustering, classification, and regression typically require a set of parameters to be provided by the user before the algorithms can perform well. In this paper, we present parameter independent density-based clustering algorithms by utilizing two novel concepts...

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Bibliographic Details
Main Authors: Md Anisur Rahman, Kenneth Li-Minn Ang, Kah Phooi Seng
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Clustering
density-based
outlier detection
unique closest neighbor
unique neighborhood set
Online Access:https://ieeexplore.ieee.org/document/8434383/

Internet

https://ieeexplore.ieee.org/document/8434383/

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