The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bayesian cluster analysis
Abstract
A parametric model for partitioning individuals into mutually exclusive groups is given. A Bayesian analysis is applied and a loss structure imposed. A model-dependent definition of a similarity matrix is proposed and estimates based on this matrix are justified in a decision-theoretic framework. Some existing cluster analysis techniques are derived as special limiting cases. The results of the procedure applied to two data sets are compared with other analyses.
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Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Cited by
Handbook on Constructing Composite Indicators: Methodology and User Guide
OECD, Union, E., & Joint Research Centre - European Commission (2008) · doi:10.1787/9789264043466-en · Cited by 3,960
An Approach for Determining the Number of Clusters in a Model-Based Cluster Analysis
Akogul, S., & Erisoglu, M. (2017) · Entropy · doi:10.3390/e19090452 · Cited by 269
Dirichlet process mixture models for unsupervised clustering of symptoms in Parkinson's disease
White, N., Johnson, H., Silburn, P., & Mengersen, K. (2012) · Journal of Applied Statistics · doi:10.1080/02664763.2012.710897 · Cited by 9
Metadata
- Authors
- BINDER, D. A.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1978
- Volume
- 65
- Issue
- 1
- Pages
- 31-38
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W1996623543
- Cited by
- 302
- References
- 1
- FWCI
- 5.20
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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