Title
Convex clustering method for compositional data via sparse group lasso
Abstract
•Proposed the Compositional Convex Clustering with Sparse Group Lasso.•Extended the standard convex clustering framework with a sparse group lasso formulation.•Developed a proximal gradient descent method within the ADMM framework.•Evaluated the efficiency of the proposed method via simulation studies and real data analysis.
Year
DOI
Venue
2021
10.1016/j.neucom.2020.10.105
Neurocomputing
Keywords
DocType
Volume
Compositional data,Sparse-group-lasso,Convex clustering,ADMM
Journal
425
ISSN
Citations 
PageRank 
0925-2312
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Xiaokang Wang101.69
Huiwen Wang22914.15
Shanshan Wang330.74
Jidong Yuan4186.45