Search Results for "big data visualization"

.NET for Apache Spark provides high-performance APIs for using Apache Spark from C# and F#. With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write .NET...

DSTK - DataScience ToolKit is an opensource free software for statistical analysis, data visualization, text analysis, and predictive analytics. Newer version and smaller file size can be found at: https://sourceforge.net/projects/dstk3/ It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Of course you may specify...

VDM.net So how can I call you My Dear Project?

This project provides a gesture based movement of part objects in the CAD-system CATIA. It is possible to rotate, move or zoom in or out. Further there is a rudimentary speech recognition to change the rotating axes or to do some other helpful things. KinectCAD has been written in Visual C# 2010. The package includes the source code and binaries files. To start KinectCAD it is necessary to have a correct installed Microsoft Kinect. Also it is helpful if there is an installed Kinect SDK...

This is my implementation of Langton's Ant (a popular turing machine, see http://en.wikipedia.org/wiki/Langton%27s_ant for more information) using C#. Supports multiple ants and threading. Video: http://www.youtube.com/watch?v=Vu9C_1DH31k

A C# implementation of LOGO which allows to reproduce many real world (complex) phenomena governed by local rules like traffic jams, gas diffusion, aggregation and percolation, ant systems and biological systems in general.

LATINO stands for Link analysis and text mining toolbox. It is a software library providing a range of data mining and machine learning algorithms with the emphasis on text mining, link analysis, and data visualization.