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SLEDRIDE: Simplified Learning about Expression Data Running in a Desktop Environment. To provide a general workbench for pipe-lining microarray gene expression data from supervised learning results into unsupervised learning methods.
jIR is an open source project focused on building an open platform for image processing tasks. It is composed of individual algorithms whose task is to extract or compare information in a data set of images.
AlViz is a research prototype for visual ontology alignment implemented as multiple-view plug-in for Protege using J-Trees and Graphs. Based on similarity measures of an ontology matching algorithm AlViz helps to assess and optimize the alignment results
Aim is to extract the information from the cadastral maps which is stored as scanned images. The extracted information is stored using graph representation. Then we convert these infomation in to CityGML format to visualize and communicate.
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ViSoR provides a visualization of several social indicators, statistics and crimes for the Ruhr Area in Germany. It allows users to view and compare particular suburbs or regions in this area.
Nevada is a tool for interactive visualization of dynamic networks. Unlike other dynamic network visualization tools it's focussing on visualizations preserving the user's mental-map. Import of Pajek files is supported.
Clothes - sewing CAD for creation of models of clothes.
Based on the new concept of the automated designing of clothes with use of parametrical model. Creates a base design of model of clothes and allows to change it depending on necessity of updating.
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Goal of our project CSX (City Stats X) is to program a generic interface to visualize and present social data about a city. We will present this on the example of the city of Linz in Austria.
The application „StockNews“ is to offer the possibility to the user to find out about the interaction between news, analyst opinions and stock exchange rates. Statistics and other relevant data about enterprises are available.
Java package to study a clustering model described in the paper \"Novel Clustering Algorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.
DiscriAlign implements a novel algorithm that aligns a set of biological interaction networks.It identifies both functionally conserved and dissimilar regions.
Draw 2D: function chart, data points chart, statistical bar chart. It's possible to combine all 3 types of chart into one. This is powerfull and easy tool, as it gives ability to manage many charts parameters. This may often compete with Gnuplot and oth
This project focuses on developing geo-visual analytic (GVA) approaches (including both visual and computational methods) to explore spatio-temporal and multivariate patterns (STAMP).
SONIVIS:Tool aims at analysing social (virtual) information spaces like Wikis. These spaces are investigated by using different network definitions (collaboration/information networks). Clustering algorithms and statistiscal analyses are provided.
The EventStream Experimenter Workbench is a data collection framework with integrated visualization techniques to facilitate eye tracking research. The software currently supports the ASL eye trackers.
The application Crimeblips provides up-to-date crime statistics for Berlin (Germany). It maps and visualizes crimes, allowing users to identify crime hot spots, trends and general patterns. Bayesian algorithms are used to extract relevant information.
A real-time graph plotter. While your application is computing and logging results to a CSV file using the LiveGraph Writer API, the plotter lets you visualise and monitor the results live - by instantly plotting charts and graphs of the data.
UDA stands for Universal Descriptive Algebra. It consists of a Java package handling universal algebras and relational structures as description systems.
The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.