Cluster-dependent feature selection by multiple kernel self-organizing map.
Kuan-Chieh HuangYen-Yu LinJie-Zhi ChengPublished in: ICPR (2012)
Keyphrases
- self organizing maps
- multiple kernel
- feature selection
- som neural network
- support vector machine
- multiple kernel learning
- unsupervised learning
- kernel learning
- kernel methods
- linear combination
- neural network
- clustering algorithm
- data clustering
- k means
- text categorization
- feature space
- multiple features
- input data
- mutual information
- growing self organizing map
- support vector
- region growing
- cluster analysis
- text classification
- feature extraction
- feature set
- multi class
- dimensionality reduction
- semi supervised learning
- data sets
- machine learning
- semi supervised
- kernel function
- knn
- support vector regression
- pattern recognition
- computer vision