Search Results for "data analysis and visualizing" - Page 2
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Showing 48 open source projects for "data analysis and visualizing"
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gfit creates an interface between computational models and experimental data and provides tools for their analysis
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Parallel Colt is a multithreaded version of Colt - a library for high performance scientific computing in Java. It contains efficient algorithms for data analysis, linear algebra, multi-dimensional arrays, Fourier transforms, statistics and histogramming
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Java Universal Network/Graph Framework
Java graph/network library
JUNG provides a common and extendible language for the modeling, analysis, and visualization of data that can be represented as a graph or network. New version now available on GitHub: https://github.com/jrtom/jung/releases/tag/jung-2.1 -
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Java OpenCL Process Virtual Machine. Spring IoC based framework for complex data analysis with OpenCL computing.
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This project is a prototype of a framework for Social Network Analysis created at INRIA. It provides methods for fetching, preparing, clustering and analyzing data from online Social Networks. Currently it has support only for the Twitter network.
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JStatCom is a software framework that facilitates the creation of JAVA programs for data based analysis tasks in various domains. It provides ways to call routines from specialized software packages, like Matlab, Gauss, Ox, and possibly others.
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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.
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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
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jgnuplot is a Java library for interfacing with the gnuplot plotting package which outputs to X11, PostScript, PNG, GIF and other formats.
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The aim of the project is to provide open source collection of algorithms in the field of spectroscopy: data handling and processing, modeling and artificial intelligence tools.
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UDA stands for Universal Descriptive Algebra. It consists of a Java package handling universal algebras and relational structures as description systems.
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GoldenOrb is a java library under the Apache License V2.0 for correlation, summarization and clustering of text information.
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AbuGraph is a freely available Java application for the layout and visualization of directed graphs. Bound to a TCP port, it supports dynamic graph creation receiving commands from a telnet console or another third party application.
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SurveyForge is a survey definition and execution tool oriented to statisticians running on JEE platform with special emphasis on data entry made easy, use of existing standards (Triple-S, Metanet, DDI) and reuse of standard (or not) classifications
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A graphical data manipulation and processing system including data import, numerical analysis and visualisation. The software is written in Java and built upon the Netbeans platform to provide a modular desktop data manipulation application.
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Digital graph 1.3 is an advanced JAVA SWING component for modelling, displaying, saving and loading graphs(using XML and XMLSchema). It is fully documented and requires jdk 1.5.x.Version 1.3 adds 9 bug fixs, 3 rengineering and 4 new features.
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TM4 is a suite of applications for managing and analyzing microarray data. TM4 provides data storage and tracking, image analysis, normalization, data filtering, clustering and statistical analysis capabilities. Includes MADAM, Spotfinder, MIDAS, and MeV.
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jmathplot is a light java library designed to allow easy plotting of 2D and 3D datas in a java panel.
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VisAD is a Java component library for interactive and collaborative visualization and analysis of numerical data.
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Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
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Paean is a tool to demonstrate in real-time the effect of various error-correcting codes on data transmitted via several channel models.
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
