Structured Features from Concept Lattices for Unsupervised Learning and Classification.
Michael BainPublished in: Australian Joint Conference on Artificial Intelligence (2002)
Keyphrases
- unsupervised learning
- classification accuracy
- feature vectors
- concept lattice
- feature extraction
- feature set
- feature space
- supervised learning
- machine learning
- formal concept analysis
- classification rules
- conceptual clustering
- decision trees
- neural network
- class labels
- feature selection
- text classification
- pattern recognition
- formal contexts
- galois lattices
- image classification
- knowledge discovery
- training set
- training data
- dimensionality reduction
- image features
- support vector machine
- active learning
- support vector
- multiscale
- formal concepts
- image processing