CNFL: Categorical to Numerical Feature Learning for Clustering and Classification.
Eric GolinkoThomas SondermanXingquan ZhuPublished in: DSC (2017)
Keyphrases
- unsupervised learning
- feature vectors
- supervised learning
- learning process
- learning algorithm
- active learning
- categorical data
- clustering algorithm
- learning tasks
- classification method
- pattern recognition
- incremental learning
- learning problems
- learning systems
- support vector machine
- classification accuracy
- prior knowledge
- training set
- discriminative learning
- decision trees
- classification models
- document clustering
- clustering analysis
- structured output
- support vector machine svm
- online learning
- image classification
- feature set
- feature space
- reinforcement learning
- feature extraction