Viscovery online demos

The application and software demos presented here use data and results from real-life applications or from public available sources to give you a quick introduction to the Viscovery software and its different uses. Please ensure that you have JavaScript enabled in your browser.

General notice on data privacy: Application demos based on external sources that include confidential data have been altered where necessary to ensure data privacy.

Application examples

Go To Website Visitors Demo

  

Website visitors

Using click data recorded for website visitors, cluster analysis is performed and user profiles are created for real-time classification of the current visitor based on click behavior.

Go to the website visitors demo

Go To Snow Crystal Demo

    

Snow crystal images

Using a historical archive of snow crystals micrographs, an ordered map of crystal types is created. Photographic elements are ordered based on intermediate image processing to determine similarity and can be accessed interactively by the user.

Go to the snow crystal images demo

Go To Music-styles Demo

  

Test your own music style

Using responses to a questionnaire about social demographic variables and hobbies, including music preferences, a SOM was generated, which was used to display music interests over the generated clusters. Locate your own profile in the map!

Go to the music styles demo

Software demos

SOMine Online Demo

    

Viscovery SOMine

The basic functions and features of Viscovery SOMine are demonstrated using a letter-recognition classification example. The demo describes workflows that guide the model creation process.

Click to see the Viscovery SOMine demo

Online Demo Klassifikation

  

Classification

A Viscovery SOMine classification application is demonstrated with an optical character-recognition example. The demo describes creation of a classification model and parameter adjustment to obtain an optimal classifier. You can download a Viscovery SOMine project of this demo that you can load in the trial version of Viscovery SOMine. Follow these links for more details: task description, attribute description, UCI Machine Learning Repository.

Click to see the classification demo