This is the Linux app named Mass Estimation whose latest release can be downloaded as Mass_1.1.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Mass Estimation with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.
- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application, install it and run it.
Mass Estimation
Ad
DESCRIPTION
This site contains four packages of Mass and mass-based density estimation.
1. The first package is about the basic mass estimation (including one-dimensional mass estimation and Half-Space Tree based multi-dimensional mass estimation). This packages contains the necessary codes to run on MATLAB.
2. The second package includes source and object files of DEMass-DBSCAN to be used with the WEKA system.
3. The third package DEMassBayes includes the source and object files of a Bayesian classifier using DEMass. DEMassBayes.7z has jar file to be used with WEKA and a readme file listing parameters used. The source files are included in DEMassBayes_Source.7z.
4. The four package is MassTER includes source and JAR 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 <[email protected]>
- References: K.M. Ting, G.-T. Zhou, F.T. Liu and S.C. Tan, Mass Estimation and Its Applications, In: Proceedings 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 ([email protected]). For any problem concerning the code, please feel free to contact Mr. Zhou.
- 2 & 3. DEMass (DEMass-DBSCAN) and DEMass-Bayes
- References: K. M. Ting and T. Washio and J. R. Wells and F. T. Liu. Density Estimation based on Mass, Proceedings of the 11th IEEE 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 your own risk.
- 4. MassTER
- References: Ting, K. M. & Wells, J. R. Multi-Dimensional Mass Estimation and Mass-based Clustering Proceedings of the 10th IEEE International Conference on Data Mining (ICDM 10), IEEE Computer Society Press, 2010, 511-520
Audience
Science/Research
User interface
Console/Terminal
Programming Language
MATLAB, Java
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/mass-estimation/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
