Clustering of the self-organizing map reveals profiles of farm profitability and upscaling weights.
Mika SulkavaAnne-Mari SepponenMaria Yli-HeikkiläArto LatukkaPublished in: Neurocomputing (2015)
Keyphrases
- self organizing maps
- clustering algorithm
- clustering method
- k means
- graph theoretic
- unsupervised learning
- data clustering
- data points
- weighted sum
- document clustering
- categorical data
- feature weighting
- neural network
- relative importance
- fuzzy clustering
- spectral clustering
- cluster analysis
- outlier detection
- anomaly detection
- support vector