Feature-basiertes Clustering von Umweltzeitreihen mit Self-Organizing-Map-Ensembles.
Andreas WunschTanja LieschStefan BrodaPublished in: GI-Jahrestagung (2020)
Keyphrases
- self organizing maps
- feature maps
- k means
- neural network
- som neural network
- unsupervised learning
- neural gas
- competitive learning
- topology preserving
- input data
- probabilistic neural network
- text clustering
- feature vectors
- decision trees
- learning vector quantization
- pattern recognition
- feature set
- similarity measure
- data clustering
- clustering algorithm
- data sets