Probabilistic View on Self-organizing Maps and Dimension Reduction.
Jouko LampinenPublished in: IJCCI (2009)
Keyphrases
- dimension reduction
- self organizing maps
- unsupervised learning
- principal component analysis
- feature extraction
- neural network
- high dimensionality
- cluster analysis
- high dimensional
- singular value decomposition
- high dimensional data
- neural gas
- random projections
- feature selection
- manifold learning
- dimensionality reduction
- input data
- linear discriminant analysis
- bayesian networks
- low dimensional
- k means
- feature space
- high dimensional problems
- competitive learning
- probabilistic model
- dimension reduction methods
- network anomaly detection
- som neural network
- anomaly detection
- semi supervised
- computer vision
- data analysis
- image processing
- manifold embedding
- learning algorithm
- machine learning