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

JYU authors or editors

Ärje, Johanna
Kärkkäinen, Salme
Turpeinen, Tuomas

Publication details

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

Journal or series: Environmetrics

ISSN: 1180-4009

eISSN: 1099-095X

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

Publication open access: Not open

Publication channel open access:

Keywords: classification

Free keywords: biomonitoring; correspondence analysis; random Bayes array

Fields of science:

Contributing organizations

JYU units:

Other organizations:

Finnish Environment Institute SYKE

Ministry reporting: Yes

Reporting Year: 2013

JUFO rating: 1

Follow-up groups:

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)

JYU authors or editors

Publication details

Contributing organizations

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)