Upper bounds on RBFN designed by input clustering.
Zekeriya UykanHeikki N. KoivoPublished in: ACC (2000)
Keyphrases
- upper bound
- k means
- lower bound
- clustering method
- clustering algorithm
- upper and lower bounds
- unsupervised learning
- input data
- fuzzy clustering
- spectral clustering
- radial basis function
- sample complexity
- sample size
- rbf network
- radial basis function network
- concept classes
- machine learning
- cluster analysis
- self organizing maps
- artificial neural networks
- feature space
- learning algorithm