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Local Optima in Mixture Modeling.
| Title: | Local Optima in Mixture Modeling. |
 49 views 16 downloads |
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| Name(s): |
Shireman, Emilie M, author Steinley, Douglas, author Brusco, Michael J, author |
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| Type of Resource: | text | |
| Genre: |
Journal Article Text |
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| Date Issued: | 2016-07-01 | |
| Physical Form: |
computer online resource |
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| Extent: | 1 online resource | |
| Language(s): | English | |
| Abstract/Description: | It is common knowledge that mixture models are prone to arrive at locally optimal solutions. Typically, researchers are directed to utilize several random initializations to ensure that the resulting solution is adequate. However, it is unknown what factors contribute to a large number of local optima and whether these coincide with the factors that reduce the accuracy of a mixture model. A real-data illustration and a series of simulations are presented that examine the effect of a variety of data structures on the propensity of local optima and the classification quality of the resulting solution. We show that there is a moderately strong relationship between a solution that has a high proportion of local optima and one that is poorly classified. | |
| Identifier: | FSU_pmch_27494191 (IID), 10.1080/00273171.2016.1160359 (DOI), PMC5534344 (PMCID), 27494191 (RID), 27494191 (EID) | |
| Keywords: | EM algorithm, Mixture modeling, Local optima | |
| Grant Number: | R01 AA023248, T32 AA013526 | |
| Publication Note: | This NIH-funded author manuscript originally appeared in PubMed Central at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534344. | |
| Subject(s): |
Algorithms Computer Simulation Models, Statistical |
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| Persistent Link to This Record: | http://purl.flvc.org/fsu/fd/FSU_pmch_27494191 | |
| Host Institution: | FSU | |
| Is Part Of: |
Multivariate behavioral research. 1532-7906 |
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| Issue: | iss. 4, vol. 51 |
Shireman, E. M., Steinley, D., & Brusco, M. J. (2016). Local Optima in Mixture Modeling. Multivariate Behavioral Research. Retrieved from http://purl.flvc.org/fsu/fd/FSU_pmch_27494191
