Automatic stellar spectral classification with multiple intelligent classifiers.
Israel Cruz-VegaHayde Peregrina-BarretoJose de Jesus Rangel-MagdalenoJuan Manuel Ramírez-CortésLeopoldo Altamirano RoblesPublished in: I2MTC (2017)
Keyphrases
- support vector
- classification algorithm
- classification systems
- classification decisions
- supervised classification
- classification rate
- classification method
- improves the classification accuracy
- class labels
- rule based classifier
- classification process
- svm classifier
- feature selection
- classification models
- feature set
- accurate classification
- decision trees
- individual classifiers
- multiple classifiers
- classification procedure
- training set
- training samples
- machine learning methods
- classification accuracy
- pattern recognition
- support vector machine svm
- multiclass classification
- final classification
- higher classification accuracy
- combining multiple
- discriminant functions
- supervised learning
- multi category
- probabilistic classifiers
- optimum path forest
- k nearest neighbour
- nearest neighbor classifier
- classifier combination
- accurate classifiers
- multiple classifier systems
- feature extraction
- majority voting
- image classification
- decision boundary
- correctly classified
- machine learning
- extracted features
- training data
- associative classifiers
- decision tree classifiers
- combining classifiers
- hyperspectral images
- ensemble classifier
- roc analysis
- knn
- feature subset
- nearest neighbour
- data stream classification
- text classification
- machine learning algorithms
- naive bayes
- binary classifiers