Supporting GNG-based clustering with local input space histograms.
Jochen KerdelsGabriele PetersPublished in: ESANN (2014)
Keyphrases
- input space
- high dimensional data
- data points
- output space
- smooth functions
- feature space
- high dimensional
- dimensionality reduction
- clustering algorithm
- training set
- input data
- low dimensional
- k means
- clustering method
- kernel function
- hyperplane
- class labels
- linearly separable
- unsupervised learning
- k nearest neighbor
- receptive fields
- growing neural gas
- kernel pca
- high dimensional feature space
- probabilistic model
- cluster analysis
- input patterns
- nearest neighbor
- data sets