Understanding Patterns with Different Subspace Classification.
Gero SzepannekKarsten LuebkeClaus WeihsPublished in: MLDM (2005)
Keyphrases
- feature space
- feature extraction
- pattern recognition
- automatic classification
- classification systems
- classification accuracy
- classification scheme
- image classification
- machine learning
- lung disease
- pattern analysis
- class labels
- support vector machine svm
- data mining
- decision trees
- high dimensional
- classification algorithm
- subspace clustering
- support vector
- training set
- classification models
- pattern classification
- principal component analysis
- feature vectors
- training samples
- unsupervised learning
- low dimensional
- support vector machine
- benchmark datasets
- machine learning algorithms
- classification method
- principal components
- model selection
- input data
- feature selection
- subspace learning
- dimensionality reduction