Work

Interpretable Clustering via Discriminative Rectangle Mixture Model

Year: 2016

Type: conference-paper

Source: Proceedings

DOI: 10.1109/icdm.2016.0097

Authors: Junxiang Chen, Yale Chang, Brian Hobbs, Peter Castaldi, Michael Cho, Edwin Silverman, Jennifer Dy

Institutions: Northeastern University, Brigham and Women's Hospital

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, National Institutes of Health

OpenAlex ID: W2583419234

FWCI: 0.18

Cites: 15

Cited by: 41

Related to: 10