Search Results for "em clustering algorithm" - Page 3
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Showing 63 open source projects for "em clustering algorithm"
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ARM7 targeted MP3 player. Fixed point 16 bit. Purpose is to buid an MP3 player with the lowest possible cost. Works on mono files (going stereo shouldn't be very complicated). Doesn't use Helix. The huffman decoding uses a clustering based algorithm.
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EMPEPA is software that permits to find the most likely rates of a PEPA model according to a set of sample executions by using the EM algorithm. It uses the GNU Scientific Library (GSL).
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N-stage worm propagated via SSH. It executes commands in a given list of hosts and copies files to them with rsync. The paths for its propagation to the cluster are configurable. It offers a scalable/reliable transport API thanks to its adaptive algorithm
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distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
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Stand-alone version of OrthoMCL is programmed in PERL, runs in UNIX-like systems. It uses the Markov Clustering Algorithm (MCL) to perform a graph clustering of protein orthologs from multiple eukaryotic genomes.
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SHReC is a Java implementation of an hierarchical document clustering algorithm based on a statistical co-occurence measure called subsumption, which is particularly suited to the problem of on-line "search results" clustering.
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IslandEv distributes a Genetic Algorithm (like <a href="/projects/jaga">JaGa</a>) across a network (see <a href="/projects/distrit">DistrIT</a>) using an island based coevolutionary model in which neighbouring islands swap migrating individuals every
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OpenMosix Sim is a simulation of the algorithm used for process distribution in OpenMosix kernel. The algorithm is simplified.
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Web Textual eXtraction Tools C++ Parallel web crawler, noun phrase idenification, Multi-lingual Part of Speech Tagging, Tarjan's Algorithm, Co-RelationShip Mappings...
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em
Expectation Maximization (EM) algorithms
The project implements Expectation Maximization (EM) algorithm together with its variants -
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iClust is an information-based clustering algorithm, based upon methods and approaches described in the paper "Information-based clustering" by Noam Slonim
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Hill Finder
Detection of Proximal RNA Binding Sites in HITS Data
... to each other, which would be found when analyzing high-throughput data for enzymes whose activity require multiple RNA binding sites, as well as for overlapping distinct ncRNA loci derived from processing events. We present a density clustering approach based on the OPTICS algorithm which can detect any number of RNA binding sites indicated by the data without prior knowledge of the expected length or number of binding sites in the transcript.
