Bayesian non-negative matrix factorization with Student’s t-distribution for outlier removal and data clustering-Reference-Cited by-同舟云学术

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Bayesian non-negative matrix factorization with Student’s t-distribution for outlier removal and data clustering

Published:2024-06 Issue: Volume:132 Page:107978
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Yuan Ruixue,Leng Chengcai^ORCID,Zhang Shuang,Peng Jinye,Basu Anup

Publisher

Elsevier BV

Reference51 articles.

1. A fast O(NlgN) time hybrid clustering algorithm using the circumference proximity based merging technique for diversified datasets;Akhter;Eng. Appl. Artif. Intell.,2023

2. Pattern Recognition and Machine Learning Information Science and Statistics;Bishop,2006

3. Comparative study of inference methods for Bayesian nonnegative matrix factorization;Brouwer,2017

4. Initialization for NMF-based audio source separation using priors on encoding vectors;Byun;China Commun.,2019

5. Graph regularized nonnegative matrix factorization for data representation;Cai;IEEE Trans. Pattern Anal. Mach. Intell.,2011

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