Search Results for "data mining matlab" - Page 12
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Showing 800 open source projects for "data mining matlab"
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GPMfit
Gaussian Process Model Fitting
Gaussian Process model for fitting deterministic simulator output. Establish efficient and reliable likelihood optimization through hybridized DIRECT-BFGS and multi-start BFGS algorithms. Programming Language: Matlab. -
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Matrix factorization is applied to the B-spline basis to construct an orthonormal basis. Data can be approximated by a linear combination of the orthonormal basis functions. Constraints are imposed such that the fitted function is linear at the boundary points, as in natural cubic spline.
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Molecular Simulation Grid
Provides high performance computing power and state of the art tools
MoSGrid focuses on the configuration and provision of Grid services for molecular simulations and annotation of the results with metadata and their provision for data mining and knowledge generation. It is based on Liferay technology togethe with gUSE. -
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Mass-based dissimilarity
A data dependent dissimilarity measure based on mass estimation.
This software calculates the mass-based dissimilarity matrix for data mining algorithms relying on a distance measure. References: Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016 http://dx.doi.org/10.1145/2939672.2939779 The source code, presentation slide and poster are attached under "Files". The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo . -
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iCubing
Several OLAP algorithms, data structures and HPC OLAP versions
OLAP technology is very useful for decision makers and data mining tools with BIG data. In this direction, we implement iCubing project with several multidimensional data cube approaches for cube indexing, querying, updating and mining. There are also several cube types, i.e. alphanumeric cubes, text cubes with unstructured data and geo cube with geo types, dimensions, measures and hierarchies, so the OLAP area continues a hard challenge after more than 20 years of the seminal paper of Jim Gray et al. in 1997. ... -
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GUI Ant-Miner is a tool for extracting classification rules from data. It is an updated version of a data mining algorithm called Ant-Miner (Ant Colony-based Data Miner).
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JaCa-DDM
DDM powered by the JaCa model
JaCa-DDM is a novel agent-based Distributed Data Mining system founded on the Agents & Artifacts paradigm, conceived to design, implement, deploy, and evaluate distributed learning strategies. -
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DaMold
a data mining platform for variant annotation and visualization.
DaMold a powerful, integrated, web-based, and user-friendly tool to filter, annotate, cross-link, and visualize NGS, Sanger, and hotspot variants. It is easy-to-use software, which provides flexible input options and accepts variants in VCF and BED formats. For each variant DaMold predicts the variant effect, such as codon change, and amino acid change. Furthermore, it cross-links each variant with more than 30 clinically relevant public databases, which contain already reported SNPs and... -
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MS2Browser
LC-MS/MS data browser designed for siderophore analysis
MS2Browser is a tool for interactive pre-processing, analysis and visualization of LC-MS/MS data. Input is an mzXML file with centroided LC-MS/MS data. The program is written in MatLab and it was designed for the analysis of siderophores (iron transporting small molecules) in bacterial media. Some of the functionality and use of MS2Browser is described as part as an open-access book chapter: http://www.intechopen.com/books/applications-from-engineering-with-matlab-concepts/small-molecule-lc-ms-ms-fragmentation-data-analysis-and-application-to-siderophore-identification A siderophore structural database assembled for this project can be found alongside the MS2Browser software (.cfw format to be used with ChemBioFinder(TM) ). ... -
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CT collimation measurements using CR plates. Please reference Bjarnason TA, Yang CY. CT radiation profile width measurement using CR raw data. Journal of Applied Clinical Medical Physics. 2015;16:501-507. Available from: http://www.jacmp.org/index.php/jacmp/article/view/5512
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LAML:Linear Algebra and Machine Learning
A stand-alone Java library for linear algebra and machine learning
...The goal is to build efficient and easy-to-use linear algebra and machine learning libraries. The reason why linear algebra and machine learning are built together is that full control of the basic data structures for matrices and vectors is required to have fast implementation for machine learning methods. Additionally, LAML provides a lot of commonly used matrix functions in the same signature to MATLAB, thus can also be used to manually convert MATLAB code to Java code. -
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Waterloo
Java-based scientific graphics
Java-based scientific graphics with support for Java, Groovy, MATLAB, Python, the R statistical environment, Scala and SciLab. -
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RAFTS3
Rapid Alignment Free Tool for Sequences Similarity Search
...RAFTS3 performed searches many times faster than those with BLASTp against large protein databases such as NR and Pfam, with a small loss of sensitivity depending on the similarity degree of the sequences. RAFTS3 is a new alternative for fast comparison of protein sequences, genome annotation and biological data mining. Preprint: http://dx.doi.org/10.1101/055269 Precomputed databases evaluated on paper are available for download at http://www.bioinfo.ufpr.br/software/rafts3 -
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cbsPlot
A Matlab standalone application for Coherent Back Scattering analysis
This software will be extremely useful for researchers involved in the analysis of data in coherent back scattering experiments to characterize optical media such as random structures, light harvesting materials and random laser media. Specific features in this program enables easy, fast and reliable evaluation of the mean free path of light in random media along with error estimation. The program incorporates manual as well as automatic noise removal functionality. -
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ChelomEx
Isotope assisted discovery of metal chelating agents from LC-MS data
...The current version ChelomEx 1.2 from 06 January 2016 includes the following changes to the original version (ChelomEx 1.0): - function to filter discovered isotope patterns after the first analysis step (isotope pattern search), accessible in the Isotope Pattern toolbar (v1.2) - updates for compatibility with MatLab versions after 2014b (v1.2) - siderophore database update (v1.1) - can now also analyze negative mode data (v1.1) - bug fixes (v1.1) -
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Al-Kashi
PHP package for statistical functions
We aim in Al-Kashi project to provide a rich PHP package full of statistical functions useful for online business intelligent and data mining, possible applications may include an online log file analysis, Ad's and Campaign statistics, or survey/voting results on-fly analysis. -
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noblefit
Matlab / GNU Octave package for (environmenta) data fitting.
NOBLEFIT is a flexible Matlab/GNU Octave toolbox for quantitative interpretation of (aqueous) tracers in terms of environmental processes and models (e.g., dissolved noble gases, other atmospheric gases, or just about anything else that deserves quantitative model-based interpretation). In contrast to similar tools where the possible tracers and models are hard-wired in the code, NOBLEFIT is designed to allow the user to define his own tracers and models. -
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Ionwinze
Spot the differences between samples, groups and classes
To download please go to Browse All Files for the complete pack! In mass spectrometry the detector responses are not always directly proportional to the quantity of compounds. Large peaks in LCMS traces are not equal to major components but their ionizability. The effectiveness of a medicinal plant, poisons in a mushroom, resistance and susceptibility to pest and diseases are not necessarily because of the compounds that give large peaks. These traits are determined by the different... -
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goGPS MATLAB is an advanced GNSS observation processing software.
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MetaOpen
Metabolomics Bioinformatics Tools
Our bioanalytical research exploits practical and efficient high-throughput technologies for the analyses of complex mixtures derived from living systems. This will facilitate the development of preventive, predictive and personalized medicine for specific diseases and will promote health and wellness. We use a number of high-throughput analytical platforms including multidimensional liquid chromatography-mass spectrometry (MDLC-MS) for proteomics, and for metabolomics; liquid... -
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BPL
Bayesian Program Learning model for one-shot learning
BPL (Bayesian Program Learning) is a MATLAB implementation of the Bayesian Program Learning framework for one-shot concept learning (especially on handwritten characters). The approach treats each concept (e.g. a character) as being generated by a probabilistic program (motor primitives, strokes, spatial relationships), and inference proceeds by fitting those generative programs to a single example, generalizing to new examples, and generating new exemplars. The repository contains code for... -
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DeepLearnToolbox
Matlab/Octave toolbox for deep learning
DeepLearnToolbox is a MATLAB / Octave toolbox for prototyping deep learning models. It provides implementations of feedforward neural networks, convolutional neural networks (CNNs), deep belief networks (DBNs), stacked autoencoders, convolutional autoencoders, and more. The toolbox includes example scripts for each method, enabling users to quickly experiment with architectures, training, and inference workflows. Although it's been flagged as deprecated and no longer actively maintained, it... -
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CAHST
Canopy height Statistic extraction from terrestrial laser scanner data
The software is made for generating canopy height statistics of terrestrial laser scanning (TLS) data. It is written in Matlab and compiled for standalone usage in Version 2013b 64 Bit on Windows. For running it, MS Excel and the Matlab MCR 2013b (available for free at http://ch.mathworks.com/products/compiler/mcr/) must be installed on the computer. -
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Open Cezeri Library
Effective Linear Algebra and Computer Vision Library with JAVA
OCL stands for Open Cezeri Library (yet another linear algebra and matrix library). This library provides rapid coding as matlab ease of use. To learn for library please try to use test examples at OpenCezeriLibrary\test\test. It is originally developed at el-cezeri laboratory of Siirt University, in order to establish generic framework of reusable components and software tools for machine vision, machine learning, AI and robotic applications. Currently, it holds following main concepts 1-... -
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smartsbc
Smart Session Border Controller
SmartSBC (c) is a general purpose security framework for Session Border Controlling (SBC) keeping in mind two general considerations: a) be smart, to be a step ahead firewalling techniques and to introduce to dynamic adaptation with complex and variable threat heuristics policies. b) be pluguble, to allow more protection strategies to be available and focused on random threats. 2. Design SmartSBC (c) is a multithreaded service which contains serverla embeded and pluguble...
