This paper provides a multivariate approach to binary segmentation in order to deal with more response variables. Splitting criteria are proposed to grow decision trees with multivariate classiΓΏcation/ prediction. These are derived as extensions of criteria used in two-stage binary segmentation. The
β¦ LIBER β¦
Multivariate Regression Trees for Analysis of Abundance Data
β Scribed by David R. Larsen; Paul L. Speckman
- Book ID
- 110725194
- Publisher
- John Wiley and Sons
- Year
- 2004
- Tongue
- English
- Weight
- 135 KB
- Volume
- 60
- Category
- Article
- ISSN
- 0006-341X
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