Search Results for "clustering algorithm matlab" - Page 7
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Showing 184 open source projects for "clustering algorithm matlab"
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BorderFlow implements a general-purpose graph clustering algorithm. It maximizes the inner to outer flow ratio from the border of each cluster to the rest of the graph.
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An implementation of a new proposed model of smoothly spiking neural networks + a fully analytical gradient descent algorithm.
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A MATLAB spectral clustering package to handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. We implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method.
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This project aims to provide open source software implementing the Wedge algorithm for the estimation of parameters in dynamical systems models. This project also seeks to create tutorials and resources for those using Wedge.
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A particle swarm optimization demo written by students in the digital communication msc program (2010) at uni-kiel.
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Fluster is a clustering algorithm for the Google Maps API v3. It manages all your markers on the map and summarizes them to "clustered markers" if there is not enough space around them. Acts like MarkerClusterer for v2.
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This is a set of octave-functions to simulate grover's quantum search algorithm in which we introduce spontaneously decaying qubits. See http://arxiv.org/abs/quant-ph/0609047. This is a modification to account for multiple item searching.
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Linear Time Invariant (LTI) system identification using particle swarm optimization (PSO) algorithm. Creators : Vahid Kiani, Hadi Sadoghi Yazdi
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Java package to study a clustering model described in the paper \"Novel Clustering Algorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.
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Software for clustering networks as described in "Information-theoretic approach to network modularity" (Phys. Rev. E 71, 046117 (2005); http://link.aps.org/abstract/PRE/v71/e046117).
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The Databionics ESOM Tools offer many data mining tasks using Emergent Self-Organizing Maps. Visualization, clustering, and classification of high-dimensional data using databionics principles can be performed interactively or automatically.
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...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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An object-oriented MATLAB toolbox for nonlinear filtering. Includes algorithms for SIR and SIS particle filters as well as an algorithm for the Extended Kalman Filter (EKF). Several discrete-time models are available. Comes with an easy-to-use GUI.
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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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Matlab-based software for clustering neurophysiological data. Includes a modular architecture for incorporating algorithms/data formats, methods for comparing and characterizing automated algorithms and visualization/validation tools.
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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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PSO Fuzzy Modeler for MATLAB creates the fuzzy model from the available data automatically using Particle Swarm Optimization (PSO) algorithm.
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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
