A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices

IF 1.4 2区数学 Q2 STATISTICS & PROBABILITY

Journal of Computational and Graphical Statistics Pub Date : 2024-02-23 DOI:10.1080/10618600.2024.2319162

Giulia Marchello, Marco Corneli, Charles Bouveyron

引用次数: 0

Abstract

The simultaneous clustering of observations and features of data sets (known as co-clustering) has recently emerged as a central machine learning application to summarize massive data sets. However...

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用于零膨胀数据矩阵协同聚类的深度动态潜块模型

对数据集的观察结果和特征同时进行聚类（称为共聚类），最近已成为总结海量数据集的一项核心机器学习应用。然而...

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来源期刊

Journal of Computational and Graphical Statistics 数学-统计学与概率论

CiteScore

3.50

自引率

8.30%

发文量

153

审稿时长

>12 weeks

期刊介绍： The Journal of Computational and Graphical Statistics (JCGS) presents the very latest techniques on improving and extending the use of computational and graphical methods in statistics and data analysis. Established in 1992, this journal contains cutting-edge research, data, surveys, and more on numerical graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics but are not necessarily experts in computing. Published in March, June, September, and December.