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KaimynystÄ—s schemos parinkimas klasifikuojant SCRD metodu
- Source :
- Lietuvos matematikos rinkinys. LMD darbai. Ser. A, Vilnius : Matematikos ir informatikos institutas, 2015, t. 56, p. 101-106, Lietuvos Matematikos Rinkinys, Vol 56, Iss A (2015), Lietuvos matematikos rinkinys. LMD darbai. Ser. A, Vilnius : Matematikos ir informatikos institutas, 2015, T. 56, p. 101-106
- Publication Year :
- 2015
-
Abstract
- When using Spatial Correlation Rule with Distance (SCRD) the selection of the neighborhood scheme influences classification accuracy. Spatial dependency in different situations remains at various distances, so, according to this, in applications it is important to choose a suitable neighborhood scheme. In the earlier papers of the authors, the nearest neighbor scheme was used. In this paper, several different neighborhood schemes are examined by large experiment.
Details
- Language :
- Lithuanian
- ISSN :
- 01322818 and 2335898X
- Database :
- OpenAIRE
- Journal :
- Lietuvos matematikos rinkinys. LMD darbai. Ser. A, Vilnius : Matematikos ir informatikos institutas, 2015, t. 56, p. 101-106, Lietuvos Matematikos Rinkinys, Vol 56, Iss A (2015), Lietuvos matematikos rinkinys. LMD darbai. Ser. A, Vilnius : Matematikos ir informatikos institutas, 2015, T. 56, p. 101-106
- Accession number :
- edsair.doi.dedup.....d1e4cdd5e96bcfcc4a5f8bd91c6d408c