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Fuzzy Ecospace Modelling to run in Windows online over Lin

Free download Fuzzy Ecospace Modelling 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 Fuzzy Ecospace Modelling to run in Windows online over Linux online whose latest release can be downloaded as FEM_Update_2019-06-26.zip. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Fuzzy Ecospace Modelling 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.

Fuzzy Ecospace Modelling to run in Windows online over Linux online


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DESCRIPTION

Fuzzy Ecospace Modelling (FEM) is an R-based program for quantifying and comparing functional disparity, using a fuzzy set theory-based machine learning approach. FEM clusters n-dimensional matrices of functional traits (ecospace matrices – here called the Training Matrix) into functional groups and converts them into fuzzy functional groups using fuzzy discriminant analysis (Lin and Chen 2004 – see main text for more information). Following this, FEM classifies the functional entities from a second matrix (the Test Matrix) into the groups made using the Training Matrix, generating fuzzy membership values for each unit in the Test Matrix. These values are real numbers from 0 to 1, representing increasing degrees of “truth” regarding an organism’s membership in the fuzzy set (see main text). A value of 0 represents non-membership in the fuzzy set, and a value of 1 represents total membership in the fuzzy set. Values in between represent degrees of niche overlap.

Audience

Science/Research



This is an application that can also be fetched from https://sourceforge.net/projects/fuzzy-ecospace-modelling/. 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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