Neighborhood scheme selection for classification with SCRD method
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 sche...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Vilnius University Press
2015-12-01
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| Series: | Lietuvos Matematikos Rinkinys |
| Subjects: | |
| Online Access: | https://www.journals.vu.lt/LMR/article/view/14944 |
| _version_ | 1818335856397647872 |
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| author | Giedrius Stabingis Lijana Stabingienė |
| author_facet | Giedrius Stabingis Lijana Stabingienė |
| author_sort | Giedrius Stabingis |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T14:30:04Z |
| format | Article |
| id | doaj.art-eb2cc41c82e64531aca4470ec65c0b1e |
| institution | Directory Open Access Journal |
| issn | 0132-2818 2335-898X |
| language | English |
| last_indexed | 2024-12-13T14:30:04Z |
| publishDate | 2015-12-01 |
| publisher | Vilnius University Press |
| record_format | Article |
| series | Lietuvos Matematikos Rinkinys |
| spelling | doaj.art-eb2cc41c82e64531aca4470ec65c0b1e2022-12-21T23:41:51ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2015-12-0156A10.15388/LMR.A.2015.18Neighborhood scheme selection for classification with SCRD methodGiedrius Stabingis0Lijana Stabingienė1Vilnius UniversityKlaipeda UniversityWhen 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.https://www.journals.vu.lt/LMR/article/view/14944spatial classificationsupervised classificationneighborhoodneighborhood schemes |
| spellingShingle | Giedrius Stabingis Lijana Stabingienė Neighborhood scheme selection for classification with SCRD method Lietuvos Matematikos Rinkinys spatial classification supervised classification neighborhood neighborhood schemes |
| title | Neighborhood scheme selection for classification with SCRD method |
| title_full | Neighborhood scheme selection for classification with SCRD method |
| title_fullStr | Neighborhood scheme selection for classification with SCRD method |
| title_full_unstemmed | Neighborhood scheme selection for classification with SCRD method |
| title_short | Neighborhood scheme selection for classification with SCRD method |
| title_sort | neighborhood scheme selection for classification with scrd method |
| topic | spatial classification supervised classification neighborhood neighborhood schemes |
| url | https://www.journals.vu.lt/LMR/article/view/14944 |
| work_keys_str_mv | AT giedriusstabingis neighborhoodschemeselectionforclassificationwithscrdmethod AT lijanastabingiene neighborhoodschemeselectionforclassificationwithscrdmethod |