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
✦ LIBER ✦
SMIXTURE: strategy for mixture model clustering of multivariate images
✍ Scribed by Thanh N. Tran; Ron Wehrens; Lutgarde M. C. Buydens
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 408 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0886-9383
- DOI
- 10.1002/cem.966
No coin nor oath required. For personal study only.
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## Abstract Here we present an approach for on‐line control and monitoring of pulpwood chip properties based on near infrared (NIR) spectroscopy and multivariate data analysis. In addition, this paper suggests how to deal with large multivariate data sets in order to extract information which can b