Search Results for "clustering algorithm" - Page 3

Showing 58 open source projects for "clustering algorithm"

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  • 1
    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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  • 2
    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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  • 3
    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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  • 4
    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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  • 5
    OpenMosix Sim is a simulation of the algorithm used for process distribution in OpenMosix kernel. The algorithm is simplified.
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  • 6
    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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  • 7
    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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  • 8

    Hill Finder

    Detection of Proximal RNA Binding Sites in HITS Data

    ...This technique can, however, obscure the precise locations of binding sites in close proximity 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.
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