A Convolutional Deep Self-Organizing Map Feature extraction for machine learning.
Mohamed SakkariMourad ZaiedPublished in: Multim. Tools Appl. (2020)
Keyphrases
- self organizing maps
- deep learning
- machine learning
- unsupervised learning
- feature extraction
- deep belief networks
- feature selection
- neural network
- pattern recognition
- competitive learning
- dimensionality reduction
- network anomaly detection
- face recognition
- supervised learning
- probabilistic neural network
- learning vector quantization
- dimension reduction
- restricted boltzmann machine
- feature vectors
- input data
- image processing
- som neural network
- learning algorithm
- extracted features
- principal component analysis
- feature space
- feature maps
- linear discriminant analysis
- growing self organizing map
- model selection
- reinforcement learning
- gabor filters
- kernel methods
- text classification
- natural language processing
- semi supervised
- knn
- k means
- decision trees
- computer vision
- data mining