RP1D: This has the source code of RP1D only. For self-completeness, we did not use any library (e.g., linear algebra libraries) even though this could have yielded a significant performance gain. You need to have JDK 8 and preferably Eclipse. RP1DWeka: This is for efficiency and effectiveness comparisons with 10 subspace clustering methods. This requires OpenSubspace.zip in http://dme.rwth-aachen.de/en/OpenSubspace as well as JDK 8 and preferably Eclipse.
Cite this work
Researchers should cite this work as follows:
- Sangchun Han, Mireille Boutin (2014). RP1D (Clustering Method Using 1D Random Projections). Purdue University Research Repository. doi:10.4231/R74F1NN4
Initial release of RP1D.