Model based clustering of customer choice data
✍ Scribed by Vicari, Donatella; Alfó, Marco
- Book ID
- 125438321
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 474 KB
- Volume
- 71
- Category
- Article
- ISSN
- 0167-9473
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
When cluster analysis is based on mixture models, choosing an appropriate model is a difficult problem. Previous studies usually addressed a part of this problem by estimating the number of clusters and assuming the type of model to be known. Various criteria to be minimized have been proposed to me
## Abstract We present a method for the analysis of meta‐analytic functional imaging data. It is based on Activation Likelihood Estimation (ALE) and subsequent model‐based clustering using Gaussian mixture models, expectation‐maximization (EM) for model fitting, and the Bayesian Information Criteri