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Mass Estimation to run in Windows online over Linux online

Free download Mass Estimation to run in Windows online over Linux online Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named Mass Estimation to run in Windows online over Linux online 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 to run in Windows online over Linux online with OnWorks for free.

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- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

Mass Estimation to run in Windows online over Linux online


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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



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.


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