Bayesian classification of vegetation types with Gaussian mixture density fitting to indicator values.

J.P.M. Witte, R.B. Wojcik, P.J.J.F. Torfs, M.W.H. de Haan, S. Hennekens

Research output: Contribution to Journal › Article › Academic › peer-review

384 Downloads (Pure)

Original language	English
Pages (from-to)	605-612
Number of pages	8
Journal	Journal of Vegetation Science
Volume	18
DOIs	https://doi.org/10.1111/j.1654-1103.2007.tb02574.x
Publication status	Published - 2007

Access to Document

@article{f26c1f6452e348b6912ebe732d4e5433,

title = "Bayesian classification of vegetation types with Gaussian mixture density fitting to indicator values.",

author = "J.P.M. Witte and R.B. Wojcik and P.J.J.F. Torfs and {de Haan}, M.W.H. and S. Hennekens",

year = "2007",

doi = "10.1111/j.1654-1103.2007.tb02574.x",

language = "English",

volume = "18",

pages = "605--612",

journal = "Journal of Vegetation Science",

issn = "1100-9233",

publisher = "Wiley-Blackwell",

}

TY - JOUR

T1 - Bayesian classification of vegetation types with Gaussian mixture density fitting to indicator values.

AU - Witte, J.P.M.

AU - Wojcik, R.B.

AU - Torfs, P.J.J.F.

AU - de Haan, M.W.H.

AU - Hennekens, S.

PY - 2007

Y1 - 2007

U2 - 10.1111/j.1654-1103.2007.tb02574.x

DO - 10.1111/j.1654-1103.2007.tb02574.x

M3 - Article

SN - 1100-9233

VL - 18

SP - 605

EP - 612

JO - Journal of Vegetation Science

JF - Journal of Vegetation Science

ER -