A genetic algorithm based clustering approach for improving off-line handwritten digit classification.
Sebastiano ImpedovoFrancesco Maurizio ManginiGiuseppe PirloPublished in: ISSPA (2012)
Keyphrases
- handwritten digits
- unsupervised clustering
- classification accuracy
- unsupervised classification
- supervised classification
- high dimensionality
- clustering analysis
- unsupervised learning
- machine learning
- clustering method
- supervised learning
- support vector machine
- support vector
- decision trees
- k means
- text classification
- feature vectors
- character recognition
- feature extraction
- training samples
- feature space
- training data
- feature selection
- data sets
- handwritten chinese