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Description
  • The main objective of this paper is to systematically analyze the performance of water samples classifications for different data representations. We compare the classification of full data representation to the classification of data items in lower dimensional space obtained by projection of original data on the space of first principal components and further on the space of centroids of classes. We use linear support vector machines for classification of ground water samples collected from five different localities of Odra River basin and results are evaluated by standard measures including recall, precision and F1-measure.
  • The main objective of this paper is to systematically analyze the performance of water samples classifications for different data representations. We compare the classification of full data representation to the classification of data items in lower dimensional space obtained by projection of original data on the space of first principal components and further on the space of centroids of classes. We use linear support vector machines for classification of ground water samples collected from five different localities of Odra River basin and results are evaluated by standard measures including recall, precision and F1-measure. (en)
Title
  • Classification of Hydro Chemical Data in the Reduced Dimensional Space
  • Classification of Hydro Chemical Data in the Reduced Dimensional Space (en)
skos:prefLabel
  • Classification of Hydro Chemical Data in the Reduced Dimensional Space
  • Classification of Hydro Chemical Data in the Reduced Dimensional Space (en)
skos:notation
  • RIV/61989100:27740/12:86083713!RIV13-MSM-27740___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED0040/01/01), P(ED1.1.00/02.0070)
http://linked.open...iv/cisloPeriodika
  • 1
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
  • 127371
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/12:86083713
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • support vector machines; principal components analysis; dimensionality reduction; concept decomposition (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • HR - Chorvatská republika
http://linked.open...ontrolniKodProRIV
  • [F4DA75CCBC23]
http://linked.open...i/riv/nazevZdroje
  • Journal of Information and Organizational Sciences
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
  • 36
http://linked.open...iv/tvurceVysledku
  • Praus, Petr
  • Praks, Pavel
  • Aswani, Kumar
  • Dobsa, Jasminka
issn
  • 1846-3312
number of pages
http://localhost/t...ganizacniJednotka
  • 27740
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