ArticleJournal of statistical software2018
clustvarsel: A Package Implementing Variable Selection for Gaussian Model-Based Clustering in R.
Article in Journal of statistical software, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
22 citing papers in PubMed.
- A supergene and genomic mosaicism are associated with phenotypic evolution in Galápagos tree finches.Nature communications · 2026Article
- Potential of biomarker-based enrichment strategies to identify critically ill patients for emerging cell death interventions.Cell death and differentiation · 2025Article
- Identification of clinical phenotypes and heterogeneous treatment effects of surgical revascularization in ischaemic cardiomyopathy: a machine learning consensus clustering analysis.European heart journal. Digital health · 2025Article
- Omada: robust clustering of transcriptomes through multiple testing.GigaScience · 2024Article
- A population-health approach to characterizing migraine by comorbidity: Results from the Mindfulness and Migraine Cohort Study.Cephalalgia : an international journal of headache · 2022Article
- A Hyperparameter-Free, Fast and Efficient Framework to Detect Clusters From Limited Samples Based on Ultra High-Dimensional Features.IEEE access : practical innovations, open solutions · 2022Article
- Brucellosis testing patterns at health facilities in Arusha region, northern Tanzania.PloS one · 2022Article
- Unobserved classes and extra variables in high-dimensional discriminant analysis.Advances in data analysis and classification · 2022Article
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- Revisiting the hyperdominance of Neotropical tree species under a taxonomic, functional and evolutionary perspective.Scientific reports · 2021Article
- Observational
- Regional anesthesia educational material utilization varies by World Bank income category: A mobile health application data study.PloS one · 2021Article
- Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing.PloS one · 2021Article
- Internet Gaming Disorder Clustering Based on Personality Traits in Adolescents, and Its Relation with Comorbid Psychological Symptoms.International journal of environmental research and public health · 2020Article
- Association Between Inflammatory Pathways and Phenotypes of Pulmonary Dysfunction Using Cluster Analysis in Persons Living With HIV and HIV-Uninfected Individuals.Journal of acquired immune deficiency syndromes (1999) · 2020Article
- Identifying hotspots of cardiometabolic outcomes based on a Bayesian approach: The example of Chile.PloS one · 2020Article
- Genomic landscape of the signals of positive natural selection in populations of Northern Eurasia: A view from Northern Russia.PloS one · 2020Article
- Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics.Statistical applications in genetics and molecular biology · 2019Article
- Neuropsychological phenotypes among men with and without HIV disease in the multicenter AIDS cohort study.AIDS (London, England) · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Finite mixture modeling provides a framework for cluster analysis based on parsimonious Gaussian mixture models. Variable or feature selection is of particular importance in situations where only a subset of the available variables provide clustering information. This enables the selection of a more parsimonious model, yielding more efficient estimates, a clearer interpretation and, often, improved clustering partitions. This paper describes the R package
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.