This program finds the best parameters for one-class jknn classifier and creates their random subspace and random projection ensemble. The code require the following JARS
- Apache Common Maths - http://commons.apache.org/proper/commons-math/
- Weka - http://www.cs.waikato.ac.nz/ml/weka/downloading.html
If you use this code in your research, please cite the following paper:
S. S. Khan and A. Ahmad, "Relationship between Variants of One-Class Nearest Neighbors and Creating Their Accurate Ensembles," in IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 9, pp. 1796-1809, 1 Sept. 2018.