Feature clustering for instrument classification.
Uwe LiggesSebastian KreyPublished in: Comput. Stat. (2011)
Keyphrases
- feature vectors
- feature set
- unsupervised learning
- unsupervised clustering
- feature analysis
- pattern recognition
- high dimensionality
- clustering method
- classification accuracy
- supervised classification
- training set
- classification scheme
- classification algorithm
- feature selection
- unsupervised classification
- classification method
- class labels
- support vector machine
- feature space
- preprocessing
- clustering algorithm
- automatic classification
- categorical data
- classification models
- clustering analysis
- fuzzy clustering
- machine learning
- machine learning algorithms
- training samples
- image classification
- decision rules
- data points
- k means
- feature values
- feature importance
- redundant features
- preprocessing stage
- feature subspace
- neural network
- decision trees
- feature ranking
- image features
- feature representation
- supervised learning
- support vector machine svm
- hierarchical clustering