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Description
  • Aim: The unsupervised nature of traditional numerical methods used to classify vegetation hinders the development of comprehensive vegetation classification systems. Each new unsupervised classification yields partitions that are partly inconsistent with previous classifications and change group membership for some sites. In contrast, supervised methods account for previously established vegetation units, but cannot define new ones. Therefore, we introduce the concept of semi-supervised classification to community ecology and vegetation science. Semi-supervised classification formally reproduces the existing units in a supervised mode and simultaneously identifies new units among unassigned sites in an unsupervised mode.
  • Aim: The unsupervised nature of traditional numerical methods used to classify vegetation hinders the development of comprehensive vegetation classification systems. Each new unsupervised classification yields partitions that are partly inconsistent with previous classifications and change group membership for some sites. In contrast, supervised methods account for previously established vegetation units, but cannot define new ones. Therefore, we introduce the concept of semi-supervised classification to community ecology and vegetation science. Semi-supervised classification formally reproduces the existing units in a supervised mode and simultaneously identifies new units among unassigned sites in an unsupervised mode. (en)
Title
  • Semi-supervised classification of vegetation: preserving the good old units and searching for new ones
  • Semi-supervised classification of vegetation: preserving the good old units and searching for new ones (en)
skos:prefLabel
  • Semi-supervised classification of vegetation: preserving the good old units and searching for new ones
  • Semi-supervised classification of vegetation: preserving the good old units and searching for new ones (en)
skos:notation
  • RIV/00216224:14310/14:00074360!RIV15-GA0-14310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP505/11/0732)
http://linked.open...iv/cisloPeriodika
  • 6
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 44435
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14310/14:00074360
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Classification stability; Clustering; Data analysis; k-means; Partitioning around medoids; Phytosociology; Plant community ecology; Vegetation type (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [442EF2946B95]
http://linked.open...i/riv/nazevZdroje
  • Journal of Vegetation Science
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 25
http://linked.open...iv/tvurceVysledku
  • Chytrý, Milan
  • Tichý, Lubomír
  • Botta-Dukát, Zoltán
http://linked.open...ain/vavai/riv/wos
  • 000343867500019
issn
  • 1100-9233
number of pages
http://bibframe.org/vocab/doi
  • 10.1111/jvs.12193
http://localhost/t...ganizacniJednotka
  • 14310
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