Classification of acoustic events using SVM-based clustering schemes.
Andrey TemkoCliment NadeuPublished in: Pattern Recognit. (2006)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- classification accuracy
- clustering method
- high dimensionality
- svm classifier
- unsupervised classification
- supervised classification
- classification models
- unsupervised learning
- supervised learning
- svm classification
- unsupervised clustering
- feature selection
- classification scheme
- machine learning
- clustering analysis
- clustering algorithm
- pattern classification
- hierarchical clustering
- pattern recognition
- benchmark datasets
- outlier detection
- classification algorithm
- fuzzy clustering
- feature vectors
- k means
- active learning
- text classification
- data points
- event detection
- feature extraction
- data clustering
- self organizing maps
- density estimation
- automatic classification