Work

Identification of relevant subtypes via preweighted sparse clustering

Year: 2017

Type: article

Source: Computational Statistics & Data Analysis

DOI: 10.1016/j.csda.2017.06.003

Authors: Sheila Gaynor, Eric Bair

Institutions: Harvard University, University of North Carolina at Chapel Hill

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, National Vulvodynia Association, National Institutes of Health, National Institute of Dental and Craniofacial Research, National Center for Research Resources, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: A Necessary Multi-Parametric Evaluation of Vulvodynia, G3685076344, Genetic and Psychosocial Influences on Transition to Chronic TMD and Related Pain, UNC Clinical and Translational Science Award, Identification of Clinically Relevant TMD Subtypes Using Cluster Analysis

OpenAlex ID: W2531843704

FWCI: 0.653

Cites: 38

Cited by: 25

Related to: 10