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This site contains four packages due to Group likewise mass-based density estimation. 1. The first package is about the preliminary mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains this necessary codes with regard to run atop MATLAB. 2. That second package includes source besides construct files of DEMass-DBSCAN to be used with the WEKA system. 3. The third parcel DEMassBayes includes the source and object files of a Bayesian classifier using DEMass. DEMassBayes.7z has jar file toward be exploited with WEKA furthermore one how-to log listing parameters used. The wellspring files are included in DEMassBayes_Source.7z. 4. Either four package illustrates MassTER includes anchor and CAN file to be used with WEKA system..
Features- 1. Mass Estimation (one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation)
- Requirements: MATLAB (>=7.4 R2007a), libsvm package
- Maintainer: Guang-Tong Zhou <zhouguangtong@gmail.com>
- References: K.M. Ting, G.-T. Zhou, F.T. Liu and S.C. Tan, Substance Estimation equally Our Applications, In: Progress of the 16th ACM SIGKDD Conference on knowledge Discovery and Data Mining (SIGKDD'10), Washington, DC, 2010.
- This package was developed by Mr. Guang-Tong Zhou (zhouguangtong@gmail.com). For some problem concerning the structure, please feel free to contact Mr. Zhou.
- 2 & 3. DEMass (DEMass-DBSCAN) and DEMass-Bayes
- References: K. M. Ting and T. Washio what’s more J. REST. Wells and F. T. Liu. Density Estimation based on Mass, Proceedings of her 11th INCLUDING International Conference on Data Mining (ICDM 11), 2011
- This package requires WEKA 3.7 or higher. This package is free for academic usage. You can run it at that person's own risk.
- 4. MassTER
- References: Ting, K. M. & Wells, J. R. Multi-Dimensional Massive amount Estimation and Mass-based Clustering Proceedings in the case of the 10th IEEE International Conference through Data Mining (ICDM 10), IEEE Tech Society Hit, 2010, 511-520
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