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Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering

Introduction

This code is for "Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering".

Illustration of updating W. AGD optimizes W on the central processor. ADMM and CEASE update $\boldsymbol{W}_c$ on the node machines and aggregate them on the central processor. The steps at each round of iteration are numbered sequentially.

Citation

@ARTICLE{zhang2022distributed,
  title={Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering},
  author={Zhang, Chihao and Yang, Yang and Zhou, Wei and Zhang, Shihua},
  journal={IEEE Transactions on Knowledge \& Data Engineering},
  volume={34},
  number={08},
  pages={3701--3713},
  year={2022},
  publisher={IEEE Computer Society}
}