A1 Journal article (refereed)
Breaking the curse of dimensionality in QDA models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater macroinvertebrates (2013)


Ärje, J., Kärkkäinen, S., Turpeinen, T., & Meissner, K. (2013). Breaking the curse of dimensionality in QDA models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater macroinvertebrates. Environmetrics, 24 (4), 248-259. doi:10.1002/env.2208


JYU authors or editors


Publication details

All authors or editors: Ärje, Johanna; Kärkkäinen, Salme; Turpeinen, Tuomas; Meissner, Kristian

Journal or series: Environmetrics

ISSN: 1180-4009

Publication year: 2013

Volume: 24

Issue number: 4

Pages range: 248-259

Publisher: Wiley-Blackwell

Place of Publication: Hoboken, NJ

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1002/env.2208

Persistent website address: http://onlinelibrary.wiley.com/doi/10.1002/env.2208/abstract

Open Access: Publication channel is not openly available


Keywords: classification

Free keywords: biomonitoring; correspondence analysis; random Bayes array


Contributing organizations


Ministry reporting: Yes

Reporting Year: 2013

JUFO rating: 1


Last updated on 2020-16-10 at 19:46