A Linear Classification Method in a Very High Dimensional Space Using Distributed Representation.
Takao KobayashiIkuko ShimizuPublished in: MLDM (2009)
Keyphrases
- classification method
- high dimensional
- low dimensional
- k nearest neighbor
- knn
- parameter space
- distributed systems
- input space
- classification algorithm
- nearest neighbor
- text classification
- support vector machine
- latent space
- support vector machine svm
- high dimensional data
- selected features
- high dimensional spaces
- higher dimensional
- classification scheme
- sparse data
- nearest neighbor rule
- similarity search
- machine learning
- manifold learning
- principal component analysis
- training data
- feature selection
- real world
- associative classification
- database