Ultra-scalable spectral clustering and ensemble clustering

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

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...