The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Finite mixture models and model-based clustering
Open accessAbstract
Finite mixture models have a long history in statistics, having been used to model population heterogeneity, generalize distributional assumptions, and lately, for providing a convenient yet formal framework for clustering and classification. This paper provides a detailed review into mixture models and model-based clustering. Recent trends as well as open problems in the area are also discussed.
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Cites
Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer Series in Statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 17,781
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The global k-means clustering algorithm
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Cited by
Survey of State-of-the-Art Mixed Data Clustering Algorithms
Ahmad, A., & Khan, S. S. (2019) · IEEE Access · doi:10.1109/access.2019.2903568 · Cited by 253
Abu-Akel, A., Allison, C., Baron-Cohen, S., & Heinke, D. (2019) · Molecular Autism · doi:10.1186/s13229-019-0275-3 · Cited by 109
Mixture-based clustering for the ordered stereotype model
Fernández, D., Arnold, R., & Pledger, S. (2016) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2014.11.004 · Cited by 39
Metadata
- Authors
- Melnykov, V., & Maitra, R.
- Venue
- Statistics Surveys
- Publisher
- Institute of Mathematical Statistics
- Published
- 2010-01-01
- Volume
- 4
- Issue
- none
- Pages
- 80-116
- ISSN
- 1935-7516 (ISSN-L)
- OpenAlex
- W1988764623
- Cited by
- 314
- References
- 99
- FWCI
- 12.58
- Type
- journal article
- Language
- en
- Open access
- diamond
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
