Search Results for "clustering" - Page 2
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Showing 46 open source projects for "clustering"
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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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The Parallel Compositing library enables developers to write scalable 3D graphics applications. The library does sort-last compositing, and works on both clusters and SMP machines. The API aims to be the MPI of parallel compositing.
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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.
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This is an opensource project for the calculation of the mathematical constant Pi. If you are a mathematician or programer please contribute ideas or code for this project. Non professionals are also welcome to contribute.
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growler is a C++-based distributed object and event architecture. Its primary application has been in support of interactive, distributed visualization, "concurrent visualization", and computational steering.
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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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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.
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Nodemon is a visualization tool for monitoring system resource utilization. It was developed for monitoring the Columbia supercomputer, a 10,240-processor Linux system at NASA Ames Research Center. It can monitor resources on any Linux system or cluster
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A high performance visualization tool for stars and particles able to run on Beowulfs. Rendering step is implemented separately and optimized for SSE, compatible with OpenGL. Navigation mechanism with quaternions. Ten color maps, sobel contour detect
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UPDATE: Chromium is no longer updated or maintained. The project is frozen. Chromium is a flexible framework for scalable real-time rendering on clusters of workstations, derived from the Stanford WireGL project code base.
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clusterviz allows to cluster three-dimensional data. The clustering process is visualized using OpenGL. As clustering algorithms the family of k-means algorithms is implemented, including mixture models.
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Prototype for a framework and user interface for combining various structured search and document clustering techniques.
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MicroArray Genome Imaging and Clustering Tool (MAGIC tool) is a platform-independant java program for analyzing MicroArray data (.tiff scans & .txt godlists) via graphs and clustering operations (including QT-clustering). http://www.bio.davidson.edu/magic
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BL_SOM_PAK is a library of Self Organizing Map(SOM), a visualization and clustering method. There is a SOM library named 'SOM_PAK' but SOM has known problem. Our purpose is to make new library which use improved SOM(Batch Lerning SOM, BL-SOM)
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JCGrid is an easy-to-use tools for real-world grid-computing. It requires only to install Java Runtime and you can easy split your cpu-intensive task among several Workstations/PC/Mac/etc. It includes support for POVRay and MandelGrid as usage examples.
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a 3d replacement for mosix's boring text based mon program. Interaces with gomd (www.nonngu.org/gomd) so you dont have to run this big openGL app on your cluster, just a handy server.
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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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This is educational software whose purpose it is to clarify the workings of different clustering algorithms by visualising the clustering process in 2D space. This make many possible problems and advantages very clear.
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Pattern recognition software package. It includes several classification and clustering algorithms. It can read data from a set of images, an ASCII file or a JDBC connection. A small TCP data server with its corresponding JDBC driver is included.
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