Work

Data fusion using factor analysis and low-rank matrix completion

Year: 2021

Type: article

Source: Statistics and Computing

DOI: 10.1007/s11222-021-10033-7

Authors: Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan

Institutions: The University of Queensland, University of Pittsburgh

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: Australian Government, Australian Research Council

Awards: Classification methods for providing personalised and class decisions, Expanding the role of mixture models in statistical analyses of big data, G7937814596

OpenAlex ID: W3140409532

FWCI:

Cites: 45

Cited by: 1

Related to: 10