Search Results for "clustering algorithm matlab" - Page 7
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Showing 164 open source projects for "clustering algorithm matlab"
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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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A collection of LDPC(Low-Density Parity-Codes) tools. Including: Code construction; Density Evolution; Decoding Algorithm; Girth average Counter; Stopping set and error Floor,etc.
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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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Implementation of a Silhouette extraction algorithm [1]. Coded in octave (matlab). [1] M. Yamada, K. Ebihara, and J. Ohya. A New Robust Real-time Method for Extracting Human Silhouettes from Color Images. Int. Conf. on Auto. Face and Gesture Recog., 1998
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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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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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MIRtoolbox is a Matlab toolbox dedicated to the extraction of musical features from audio files, statistical analysis, segmentation and clustering. Through a user-friendly syntax, low and high-level operators can be combined into complex flowcharts.
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nBoost is a suite of boosting algorithms designed to solve binary classification problems on data that is not linearly separable by a convex combination of base hypotheses, i.e. noisy data. WARNING: Active development. Underlying algorithm is unstable.
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UANA (Universal Abstract Numerical Algorithm) is a c++ api for developers to write algorithms independant of the underlying data container classes.
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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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.
