The Effect of Dimensionality Reduction on Large Scale Hierarchical Classification.
Aris KosmopoulosGeorgios PaliourasIon AndroutsopoulosPublished in: CLEF (2014)
Keyphrases
- hierarchical classification
- dimensionality reduction
- hierarchical text classification
- feature selection
- hierarchical structure
- classification algorithm
- high dimensional data
- text classification
- high dimensionality
- high dimensional
- low dimensional
- data representation
- principal component analysis
- real world
- data points
- pattern recognition and machine learning
- machine learning
- k nearest neighbor
- unsupervised learning
- active learning
- pairwise
- feature space
- feature extraction
- principal components
- computer vision
- learning algorithm
- labelled data