Search Results for "data mining matlab" - Page 10
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Showing 800 open source projects for "data mining matlab"
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Canvas-2DGC
A user-extensible Freemat based 1DGC and GCxGC data analysis software.
Canvas-2DGC is a user-extensible, Freemat based 1DGC and comprehensive 2DGC (GCxGC) data visualization and processing software. GCxGC-MS data analysis is supported for Agilent GCMS data format. The first goal of this project is to provide a highly intelligent analytical tool for reducing a complex chromatographic data analysis, either 1D or 2D, to just a few simple and intuitive steps. The second goal is to provide a fast and practical way of customizing or extending functionalities by ordinary users through high-level Freemat scripting. ... -
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Deep Photo Style Transfer
Code and data for paper "Deep Photo Style Transfer"
Deep Photo Style Transfer is an implementation of the algorithm described in the paper “Deep Photo Style Transfer” (arXiv 1703.07511). The software allows users to transfer the style of one photograph to another while preserving photorealism and semantic consistency. It relies on semantic segmentation masks to guide style transfer (so that e.g. sky maps to sky, building maps to building), and uses a matting Laplacian regularization term to ensure smooth transitions. The repository provides... -
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Specstractor
Tool chain for the automated extraction/analysis of system invariants
...These automatically generated invariants yield useful insight into the actual system behavior and can reveal flaws and missing elements in the developer-maintained specifications. Specstractor consists of two main components, the Extractor, which automatically extracts invariants from automatically generated test cases of a system using data mining, and Insight, a web based tool that gives the user high level views and visualizations of the resulting invariants. For information about how to download and use the tools please press the link below or go the wiki page. -
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wgssat_nbfgr
WGSSAT: SSR Annotation Pipeline
WGSSAT provides a Graphical User Interface pipeline to mine and characterize SSR from Whole genome data. This pipeline integrates prediction of genes, ncRNA, repeats and SSR from whole genome assembly and mapping of these predicted SSR on to the genome (classified according to genes, ncRNA, repeats, exonic and intronic region) along with primer designing and mining of cross-species amplification markers. The mining of SSRs from whole genome provides valuable information on the abundance of SSRs in various genomic regions and will also facilitate the development of markers for genetic analysis and related applications, such as marker-assisted breeding and linkage mapping. -
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CUBiBit
Tool to search binary biclusters on CUDA-enabled GPUs
CUBiBit is a parallel tool to accelerate the search of biclusters on binary datasets using CUDA-enabled GPUs. This data mining procedure is especially useful for gene expression data. This tool receives as input a file with ARFF extension that contais the binary values of m attributes and n samples and returns a file with the biclustering information. It is able to exploit the parallel capabilities of manycore NVIDIA GPUS. It also makes use of C++11 multithreading support to accelerate one phase of the algorithm on several CPU cores. -
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A set of Matlab functions which compute effect size statistics and (exact) confidence intervals for a wide range of data analysis situations, including two-sample-, oneway-, twoway- and contrast analyses as well as categorical data in tables.
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HRVAS Langer
HRV, symbolic dynamics
HRVAS_Langer is extension of the software Heart Rate Variability anaslysis software (HRVAS) created by Ramshur JT and witten in Matlab. Extensioned analysis are: symbol dynamics and time ireversibility - Port, Gruzik and Ehlers indexes. Before analysis all posibilitties of the HRVAS are preserved as detrending, atopic detection and replacement and automatic analysis in batch mode - analysis of multiple recordes one by another. After analysis results are exported into Excel file alowing further data procesing or presenting. ... -
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MAT-MECAS
Cell impedance analysis software.
MAT-MECAS is used for calculation of impedance parameters of a cell from recorded current responses elicited by bipolar voltage stimuli in a whole-cell patch-clamp experiment. The calculations are based on a FFT deconvolution procedure and on approximation of the reconstructed currents with a theoretical function. The impulse response of the signal path is necessary for the calculations. Read manual first! For testing MAT-MECAS we provide a sample data along with sample stimulation protocols. -
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PSIworx
Data processing for the PSI fluorometer
PSIworxR (R) and PSIworx (MATLAB) are a collection of functions and scripts to analyze data from the PSI SuperHead Fast Fluorometer series (www.psi.cz). These fluorometers are used in limnology and oceanography research communities. The program retrieves parameters from single turnover induction and relaxation. Results are returned as text files and PDF figures. -
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AnalyzeNNLS
MRI Multiple Echo T2 Analysis
Users load multiecho MRI data and draw ROIs. AnalyzeNNLS creates a T2 distribution from the averaged decay data. Regional fractions and geometric T2 times can be determined. Please reference: Bjarnason TA, Mitchell JR. JMR 206:200-4 (2010). Temporal Phase Correction included in version 2.5. If you use this functionality, please reference: Bjarnason TA, Laule C, Bluman J, Kozlowski P. JMR 232:22-31 (2013). -
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All future developments will be implemented in the new MATLAB toolbox SciXMiner, please visit https://sourceforge.net/projects/scixminer/ to download the newest version. The former Matlab toolbox Gait-CAD was designed for the visualization and analysis of time series and features with a special focus to data mining problems including classification, regression, and clustering.
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CDRheo
Performs a fourier transform on LAOS rheology data
Performs a fast fourier transform in MATLAB on Stress and Strain data from LAOS rheological tests. Simple way to get information about the harmonics for a large set of data. Used on data from a TA HR2 running TRIOS software but should be easily adaptable to other formats (Please get in touch if you need assistance). Written by Carl Reynolds during PhD in Polymer Rheology at Durham University in the Thompson Group: http://community.dur.ac.uk/r.l.thompson/ Contact c.d.reynolds@dur.ac.uk for more information -
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Freemat is an interpreted, matrix-oriented development environment for engineering and scientific applications, similar to the commercial package MATLAB. Freemat provides visualization, image manipulation, and plotting as well as parallel programming.
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Tensiomet
A MATLAB compatible library for surface stress measurements
Tensiomet is a library of MATLAB functions and procedures that helps to conduct pendant drop measurements and to post process acquired data. Its focus is elastomery, to recover material parameters of elastic interfacial layers. -
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Matlab Toolbox EyeX
Matlab Toolbox for Tobii EyeX Tracker
NEWS Do you want to Eye Movement Analysis? Identify saccades and fixations? Compute the saliency maps? Compute the Main Sequence? A Matlab Toolbox is ready for that: https://sourceforge.net/p/ema-toolbox/ NEWS The toolbox now also works with the EYEX SDK and with Tobii 4C! Just plug it, turn it on (see the red lights) and run the script! CREDITS A. Gibaldi, M. Vanegas, P.J. Bex, G. Maiello. Evaluation of the Tobii EyeX Eye tracking controller and Matlab toolkit for research, Behavior Research Methods, 2016 NEWS Want to use the EYEX with Python? ... -
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MatQuantify
An image processing tool
...We analysed 217 microscopy images of untreated metaphase cells, 172 images of metaphase cells transfected with small interfering RNAs targeting the luciferase gene (as a negative control), and 230 images of metaphase cells depleted of CHC. Using the quantified data, we trained 23 supervised machine learning classificatio -
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The code consists of an automatic segmentation system that is based on the Hough transform, and is able to localize the circular iris and pupil region, occluding eyelids and eyelashes, and reflections. The extracted iris region was then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data from 1D Log-Gabor filters was extracted and quantized to four levels to encode the unique pattern of the iris into a bit-wise...
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Bolt ML
10x faster matrix and vector operations
Bolt is an open-source research project focused on accelerating machine learning and data mining workloads through efficient vector compression and approximate computation techniques. The core idea behind Bolt is to compress large collections of dense numeric vectors and perform mathematical operations directly on the compressed representations instead of decompressing them first. This approach significantly reduces both memory usage and computational overhead when working with high-dimensional data commonly used in machine learning systems. ... -
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In-Close
In-Close is a fast Formal Concept miner.
In-Close is a fast Formal Concept Miner and Tree Builder for FCA files in the cxt format and FIMI .dat files. Features include: minimum support for intent and extent, output of analysis data, output of concepts, output of reduced context using minimum support values and output of sorted cxt file (thus can convert dat to cxt format). -
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MYRA
A collection of ACO algorithms for the data mining classification task
MYRA is a collection of Ant Colony Optimization (ACO) algorithms for the data mining classification task. It includes popular rule induction and decision tree induction algorithms. The algorithms are ready to be used from the command line or can be easily called from your own Java code. They are build using a modular architecture, so they can be easily extended to incorporate different procedures and/or use different parameter values. -
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EEG Seizure Prediction
Seizure prediction from EEG data using machine learning
The Kaggle-EEG project is a machine learning solution developed for seizure prediction from EEG data, achieving 3rd place in the Kaggle/University of Melbourne Seizure Prediction competition. The repository processes EEG data to predict seizures by training machine learning models, specifically using SVM (Support Vector Machine) and RUS Boosted Tree ensemble models. The framework processes EEG data into features, trains models, and outputs predictions, handling temporal data to ensure accuracy. -
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SPAWNN
SPatial Analysis With self-organizing Neural Networks
The SPAWNN toolkit is an innovative toolkit for spatial analysis with self-organizing neural networks which is particularily useful for spatial analysis, visualization and geographical data mining. To run the toolkit, simply download and execute (double-click) the jar-file. Please cite: - Hagenauer, J., & Helbich, M. (2016). SPAWNN: A Toolkit for SPatial Analysis With Self-Organizing Neural Networks. Transactions in GIS, 20(5), 755-775. Other related publications: - Hagenauer, J. (2016). Weighted merge context for clustering and quantizing spatial data with self-organizing neural networks. ... -
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PyDaMelo
Python-compatible Data mining elementary objects
An attempt at offering machine learning and data mining algorithms at the finest grain we are able to, easy to combine together through Python scripting to glue together the Lego-like bricks. -
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CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
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GTK+ IOStream
GTK+iostream, Data plots, ORB, Neural Networks, WSOLA
Create GTK+ interfaces using IOStream style code. Its simple and quick! Also providing simple data plotting (similar to Matlab/Octave), ORB (Object Request Broker), and Neural Network computations. You can create GTK+ GUIs in a few lines of code. Labels<<"Thanks for reading"; (HBox<<Labels).show(); or even one line : (HBox() << (Labels()<<"Thanks for reading")).show(); Inline code destructs the classes, but leaves the widgets/callbacks operating.
