Some Proposal of the High Dimensional PU Learning Classification Procedure.
Konrad FurmanczykMarcin DudzinskiDiana Dziewa-DawidczykPublished in: ICCS (3) (2021)
Keyphrases
- classification procedure
- high dimensional
- hyperplane
- rotation invariant
- low dimensional
- feature space
- high dimensionality
- data points
- dimensionality reduction
- high dimensional data
- supervised classification
- input space
- nearest neighbor
- training samples
- co occurrence
- instance selection
- pattern recognition
- microarray data
- pairwise
- sample space