Automatic selection of the number of clusters using Bayesian clustering and sparsity‐inducing priors-Reference-Cited by-同舟云学术

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Automatic selection of the number of clusters using Bayesian clustering and sparsity‐inducing priors

Published:2021-12-16 Issue: Volume: Page:
ISSN:1051-0761
Container-title:Ecological Applications
language:en
Short-container-title:Ecological Applications

Author:

Valle Denis¹^ORCID,Jameel Yusuf¹,Betancourt Brenda²,Azeria Ermias T.³,Attias Nina⁴^ORCID,Cullen Joshua¹

Affiliation:

1. School of Forest Resources and Conservation, University of Florida Gainesville Florida United States of America

2. Department of Statistics University of Florida Gainesville Florida United States of America

3. Alberta Biodiversity Monitoring Institute, University of Alberta Edmonton AB Canada

4. Ecology and Conservation Graduate Program, Federal University of Mato Grosso do Sul, Campo Grande Mato Grosso do Sul Brazil

Publisher

Wiley

Subject

Ecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/eap.2524

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic deep spare clustering with a dynamic population-based evolutionary algorithm using reinforcement learning and transfer learning;Image and Vision Computing;2024-11

2. Clustering and unconstrained ordination with Dirichlet process mixture models;Methods in Ecology and Evolution;2024-08-02

3. Correlations among New Mexico pod‐type green chile (Capsicum annuum) fruit morphology characteristics with destemming force;Crop Science;2024-07-02

4. Estimation and interpretation problems and solutions when using proportion covariates in linear regression models;Ecology;2024-02-15

5. The Cluster Structure Function;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-09-01

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