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A communication efficient boosting method for distributed spectral clustering

delete2026-01-28
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PRE
AI
Y
Yingqiu Zhu
D
Danyang Huang
DOI:10.1016/j.patcog.2026.113168delete
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Abstract

Abstract

En 中文
• We propose a new framework to comprehensively study distributed spectral clustering based on subsampling techniques. • We propose a communication-efficient method to aggregate local information for distributed spectral clustering. • The proposed method enhances the performance of distributed spectral clustering with low communication costs.

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

U
University of International Business and Economics
Scholars:
488
Papers: 359
Citations: 3.9K
R
Renmin University of China
Scholars:
8.1K
Papers: 7.7K
Citations: 1.1W