Patterning habitat preference of avifaunal assemblage on the Nakdong River estuary (South Korea) using self-organizing map.
Chan-Woo LeeJi-Deok JangKwang-Seuk JeongDong-Kyun KimGea-Jae JooPublished in: Ecol. Informatics (2010)
Keyphrases
- self organizing maps
- south korea
- united states
- water quality
- neural network
- neural gas
- competitive learning
- topology preserving
- unsupervised learning
- som neural network
- input data
- learning vector quantization
- probabilistic neural network
- online gaming
- e government
- k means
- growing self organizing map
- data sets
- pattern recognition