Career Clusters

OpenSSI Clusters for Linux project is a comprehensive clustering solution offering a full, highly available SSI environment for Linux. Goals for OpenSSI Clusters include availability, scalability and manageability, built from standard servers. Technology pieces include: membership, single root...

MB Career Astrology generates your career or working profile based on the sun signs of Western Astrology. This shows more about your work profile and the different kinds of professions that suit your personality. 'Career Astrology’ can help you understand your working preferences depending on...

The Beyond.com Career Center is a full-featured JavaScript which can be easily integrated into your website in a matter of minutes. Your visitors will be able to search and apply to jobs, post jobs and view resumes, and access valuable business and life resources without leaving your site. The...


Platforms: Windows

special freshman guide to effective career planning from black collegian in as a freshman, think of your first year as building the foundation for your . workshops are easy and quick ways to get your career education and learn effective career skills. in minutes, you will learn valuable...


Platforms: Windows, Edition 2005,Edition 2005

Clusters is a background file compressor, which uses the new HFS-compression technology in Snow Leopard to transparently compress the folders you configure it to process. Mac OS will read those files normally, they will just take less disk space.


Platforms: Mac

The geometric double-entity model method (GDEM) is proposed to gives far-near degrees between clusters (namely, GE distances), which integrate the absolute distance between nearest sample sets and the dense degrees of border regions of two clusters. GE distances are measured based on the...


Platforms: Matlab

(SE) is developed to estimate the number of clusters (NC) for PAM clustering algorithm. By inspecting whether it is stable that two potential clusters are separated or merged, SE focuses on the separability of two closest clusters among k potential clusters (called twin-clusters) when a data set...


Platforms: Matlab

The searching process is necessary for the Affinity propagation clustering (AP) when one demands a clustering solution under given number of clusters. The Fast AP uses multi-grid searching to reduce the calling times of AP, and improves the upper bound of preference parameter to reduce the...


Platforms: Matlab

Dear All:Just wanted to let you know I have developed a Client/Server Framework for Computing Clusters that you might find useful. Simple model with three commands (send file, receive file, spawn=fork/execute a program).There are three helper MEX files: spawn process (return pid), wait_pid (with...


Platforms: Matlab

The EJS Shapley's Globular Clusters Model shows the distribution of globular clusters around the plane of the Milky Way as determined by Harlow Shapley in 1918. The Space View frame shows a 3D view of the distribution of the clusters around the galactic plane, along with the location of the Sun...


Platforms: Mac

Job-seekers' guide to better resumes, cover leters, and other career related documents


Platforms: Windows

Over 1 Million Copies Sold in less than Three Years .. Can be used with Windows 95/98/2K/XP and Vista. Works at amazing speeds with an Intel Duo Core Processor and VISTA OS.Over 1 Million Copies Sold in less than Three Years .. This program is a Job Search Complete Toolkit which includes links to...


Platforms: Windows

BCLUST is a small, simple, command prompt based tool specially designed to help you asses reliability of gene clusters from expression data by using consensus tree and bootstrap resampling method. Because of the rapid development of microarray technologies, many of statistical procedures, most...


Platforms: Windows

FlowVR eases development and execution of virtual reality applications distributed on clusters and grids. FlowVR enables parallel code coupling and advanced coherency control between data flows.


Platforms: *nix

The GMM returns the cluster centroid and cluster variances for a family of points if the number of clusters are predefined. The centroid and variance can then be passed to a Gaussian pdf to compute the similarity of a input query point with reference to given cluster.


Platforms: Matlab

Clusters data using the Mean Shift Algorithm. testMeanShift shows an example in 2-D. Set plotFlag to true to visualize iterations.


Platforms: Matlab

The Affinity Propagation (AP) clustering algorithmproposed by Frey and Dueck (2007) provides an understandable,nearly optimal summary of a data set. However,it suffers two major shortcomings: i) the number of clusters isvague with the user-defined parameter called self-confidence,and ii) the...


Platforms: Matlab

For validation of clustering results in cluster analysis, it is important to use some objective measures to evaluate the clustering quality. This tool provides programs of such validity indices, including 4 External validity indices and 8 Internal validity indices: Rand index, Adjusted Rand...


Platforms: Matlab

StarCluster is a utility for creating and managing general purpose computing clusters hosted on Amazon's Elastic Compute Cloud (EC2). StarCluster minimizes the administrative overhead associated with obtaining, configuring, and managing a traditional computing cluster used in research labs or for...


Platforms: Mac

Maui Scheduler is an advanced reservation HPC parallel batch scheduler for use with Linux and BSD clusters. Maui provides a complete scientific scheduling solution, supporting running custom parallel and MPI jobs over Myrinet and ethernet.


Platforms: *nix