Infinity Bevel Clusters

A simple web interface for Blender, for rendering animation with clusters. 'Blender is the free open source 3D content creation suite, available for all major operating systems under the GNU General Public License.' Platforms: Windows, Mac, Linux

Chromium is a flexible framework for scalable real-time rendering on clusters of workstations, derived from the Stanford WireGL project code base. Platforms: Windows, Mac, BSD, Linux

This project consists of a session manager plugin for Tomcat 5 clusters, designed to scale by using single 'buddy' backups rather than full replication. It uses the jcluster API (http://jcluster.dev.java.net) as the communication mechanism. Platforms: Windows, Mac, Linux

Ricochet around the Galaxy in this dynamically brilliant breakout action game! Trek across 216 awesome levels, with thousands more online, earning new ranks in the Galactic Tournament, by yourself or with a friend. Play the re-energized Ring Ga Platforms: Mac

This function is for training a codebook for vector quantization. The data set is split to two clusters, first, and the mean of each cluster is found (centroids). The disttance of each vector from these centroids is found and each vector is associated with a cluster. The mean of vectors of each... Platforms: Matlab

The STP Percolation program generates occupied lattice sites with probability p and then determines the clusters of occupied sites. The purpose of this program is to demonstrate some of the important properties of percolation, especially near the geometrical phase transition. The default system... Platforms: Matlab

LSDPTOOL provides a graphical user interface for performing robust H-infinity control system design using McFarlane & Glovers's Loop Shaping Design Procedure (LSDP).For further details, see:http://www.cranfield.ac.uk/~eh3081/lsdptool.html Platforms: Matlab

This function applies the Delaunay-based image segmentation, which is a fully automated process that does not require initial estimate of number of clusters.The core idea is to apply Delaunay triangulation to the image histogram instead of the image itself. That reduces the sites required to... Platforms: Matlab

This function segments (clusters) an image into object classes, and estimates and corrects for slow varying illumination artifacts. Estimates and corrects for bias field in 3D MRI, streak artifacts in CT, and illumination artifacts in color photos.It's an implementation of the paper of M.N. Ahmed... Platforms: Matlab

Many ant species exhibit the behavior of clustering corpses to form cemeteries. Each ant seems to behave individually, moving randomly in space while picking up or depositing (dropping) corpses. The decision to pick up or drop a corpse is based on local information of the antd-deOaos current... Platforms: Matlab

Data density can be hard to read from scatter plots due to overstriking. I therefore calculate data density at each pixel as the reciprocal of the sum of squared distance from each point, adding a fudge factor to prevent points actually within the pixel going to infinity.The resulting plot allow... Platforms: Matlab

This toolbox implements the methods of [1] and [2] to design H-infinity controllers for linear spatio-temporally invariant, or multidimensional (MD), systems. Utilities are also provided for the following types of operations on MD systems:1. System description (MD systems are specified via a... Platforms: Matlab

This is a GUI for Riccati formulation and H-infinity and H-2 Norms calculation for Robust Control. Platforms: Matlab

This small tool selects colors for a number of patches so that no any neighboring pair of patches have the same color. The tool was motivated by representing clusters produced by k-means.http://www.mathworks.com/matlabcentral/fileexchange/19344It can also demonstrate the famous four color map... Platforms: Matlab

I am describing a solution that allows you to break apart and run large amounts of your Matlab code in parallel on large computational pools. In order to provide the user with the familiar Matlab work environment, I glue back the remotely evaluated Matlab code via web services, such that the... Platforms: Matlab

Working with large images presents a number of challenges such as managing memory use and leveraging high-performance resources ranging from multicore desktops to clusters and grids.In this webinar you'll discover new features in MATLAB and Image Processing Toolbox that address these issues while... Platforms: Matlab

It is a systematic methodolgy to calculate in a non iterative way the infinity norm of a given Linear Invariant Control System.Some other applications are also provided such that to plot the maximum singular value of the given Linear System, etc. Platforms: Matlab

The statistics toolbox contains routines for hierarchical clustering, including the cluster routine uses the SAHN tree to group data into clusters. However, the toolbox seems to lack a routine that uses the SAHN tree to describe the hierarchical relationship between those clusters. This routine... Platforms: Matlab

Affinity propagation clustering (AP) is a clustering algorithm proposed in "Brendan J. Frey and DelbertDueck. Clustering by Passing Messages Between Data Points. Science 315, 972 (2007)". It has some advantages: speed, general applicability, and suitable for large number of clusters.... Platforms: Matlab

Discriminant Functions is one of statistical technique used in Pattern Recognition for separating classses.This is parametric methods, means, it requires that mean and covariance of class is known. In other words, Probability Density of given class should be known to apply this method.Here, two... Platforms: Matlab