Walker, Stephen G., Fuentes-Garcia, Ruth (2010) A new approach to classification. Journal of Applied Statistics, 37 (1). pp. 137-146. ISSN 0266-4763. (doi:10.1080/02664760802698987) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:23908)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://dx.doi.org/10.1080/02664760802698987 |
Abstract
Clustering is a common and important issue, and finite mixture models based on the normal distribution are frequently used to address the problem. In this article, we consider a classification model and build a mixture model around it. A good assessment of the allocation of observations and number of clusters is easily obtained from this approach.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1080/02664760802698987 |
| Subjects: | Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
| Funders: | Universidad Nacional de Moquegua (https://ror.org/05v2asf50) |
| Depositing User: | Stephen Walker |
| Date Deposited: | 29 Jun 2011 13:37 UTC |
| Last Modified: | 05 Nov 2024 10:03 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/23908 (The current URI for this page, for reference purposes) |
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