Acute lymphoid leukemia classification using two-step neural network classifier.
Ivan VincentKi-Ryong KwonSuk-Hwan LeeKwang-Seok MoonPublished in: FCV (2015)
Keyphrases
- learning vector quantization
- neural network
- classification method
- classification process
- accurate classification
- pattern recognition
- binary decision tree
- classification scheme
- final classification
- classification models
- multi layer perceptron
- classification algorithm
- training process
- support vector machine
- fuzzy classifier
- decision trees
- support vector
- nearest neighbour
- feature space
- classification rate
- class labels
- training samples
- learning phase
- probabilistic neural network
- svm classifier
- bayesian classifier
- classification accuracy
- training set
- nearest neighbor classifier
- decision boundary
- feature selection and classifier
- support vector machine svm
- k nearest neighbour
- higher classification accuracy
- feature set
- training data
- multi category
- text classification
- feature vectors
- pattern classification
- machine learning
- mlp neural networks
- backpropagation neural network
- decision tree classifiers
- feature selection
- cancer diagnosis
- classifier combination
- fuzzy artmap
- image classification
- probabilistic classifiers
- feature extraction
- learning algorithm
- individual classifiers
- knn
- high classification accuracy
- multiclass classification
- fold cross validation
- radial basis function
- microarray data