Search Results for "clustering algorithm matlab" - Page 4
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Showing 93 open source projects for "clustering algorithm matlab"
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This is a MATLAB implementation of inverse compositional Active Appearance Models (AAMs), as described in the "Active Appearance Models Revisited" paper by Iain Matthews and Simon Baker.
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BLIMToolbox
A set of tools for processing Argus images of the nearshore zone.
...Because BLIM Toolbox is meant to work with other Argus software, it is programmed in Matlab. For the BLIM Toolbox to run, Matlab needs to be installed. However, knowledge of Matlab programming is not required for using the toolbox. -
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This is a fast C implementation of Arturo Camacho's SWIPE' pitch extraction algorithm. See the project homepage for more about the advantages of the SWIPE' algorithm. swipe-1.0.tar.gz contains the current source, which should compile quite neatly.
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Complex Systems is a toolbox for SCILAB software. This toolbox measures some parameters for graphs representing complex systems: degree distribution, average neighboring degree, average clustering, and shell index (from k-core decomposition).
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This project applies an interpretation of a k-NN algorithm to a library of GPS commuter data for speed prediction. The overall goal is to lay the foundation for a power management protocol for use in electric vehicles with hybrid energy storage.
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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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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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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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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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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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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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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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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
