Ultra-scalable spectral clustering and ensemble clustering

Ultra-scalable spectral clustering and ensemble clustering

This paper focuses on scalability and robustness of spectral clustering for extremely large-scale datasets with limited resources. Two novel algorithms are proposed, namely, ultra-scalable spectral clustering (U-SPEC) and ultra-scalable ensemble clustering (U-SENC). In U-SPEC, a hybrid representativ...

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Bibliographic Details
Main Authors: Huang, Dong, Wang, Chang-Dong, Wu, Jiansheng, Lai, Jian-Huang, Kwoh, Chee-Keong
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering
Data Clustering
Large-scale Clustering
Online Access:https://hdl.handle.net/10356/139670

Internet

https://hdl.handle.net/10356/139670

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