Walker, Stephen G. and Fuentes-Garcia, Ruth (2010) A new approach to classification. Journal of Applied Statistics, 37 (1). pp. 137-146. ISSN 0266-4763. (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)
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.
|Subjects:||Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics|
|Divisions:||Faculties > Science Technology and Medical Studies > School of Mathematics Statistics and Actuarial Science > Statistics|
|Depositing User:||Stephen Walker|
|Date Deposited:||29 Jun 2011 13:37|
|Last Modified:||25 Jun 2014 10:50|
|Resource URI:||https://kar.kent.ac.uk/id/eprint/23908 (The current URI for this page, for reference purposes)|