Search Results for "data mining matlab" - Page 9
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Showing 592 open source projects for "data mining matlab"
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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. -
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mctc4bmi
Matrix and Tensor Completion for Background Model Initialization
MCTC4BMI (Multimodal Compressed Sensing and Tensor Decomposition for Brain-Machine Interfaces) is a MATLAB toolbox designed to process and analyze EEG data. It applies compressed sensing and tensor decomposition techniques to improve brain-machine interface (BMI) performance. -
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VeriSiMPL
Verification via biSimulations of Max-Plus-Linear models
This toolbox is used to generate finite abstractions of autonomous Max-Plus-Linear (MPL) systems over R^n. Abstractions are characterized as finite-state Labeled Transition Systems (LTS). The LTS finite abstractions are shown to either simulate or to bisimulate the original MPL system. LTS models are to be verified against given specifications expressed as formulae in Linear Temporal Logic (LTL) and Computation Tree Logic (CTL). The toolbox intends to leverage the NuSMV model checker. Models... -
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SimilarityViewer
Identify co-occuring genes in cyanobacteria
The SimilarityViewer allows the identification of genes co-occurring in subsets of 77 cyanobacterial organisms. The software is available as a MATLAB script and as stand-alone applications for Mac, Linux, and Windows computers. To install this program download the zip file appropriate for your system, unzip it, and follow the instructions in the README file. SimilarityViewer and the included data are licensed under the Apache License Version 2.0. If you use the SimilarityViewer for scientific purposes please cite the according paper. ... -
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TESTIMAGES
Testing images for scientific purposes
The TESTIMAGES archive is a huge and free collection of sample images designed for analysis and quality assessment of different kinds of displays and image processing techniques. The archive includes more than 2 million images originally acquired and divided in three different categories: SAMPLING and SAMPLING_PATTERNS (aimed at testing resampling algorithms), COLOR (aimed at testing color rendering on different displays) and PATTERNS (aimed at testing the rendering of standard geometrical... -
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Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLAB users. Matplotlib uses numpy for numerics. Output formats include PDF, Postscript, SVG, and PNG, as well as screen display. As of matplotlib version 1.5, we are no longer making file releases available on SourceForge. Please visit http://matplotlib.org/users/installing.html for help obtaining matplotlib.
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Lattice Miner is a data mining prototype for creating, visualizing and exploring concept (Galois) lattices. It allows the generation of formal concepts and association rules.
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BISD
Batch incremental SNN-DBSCAN clustering algorithm
Incremental data mining algorithms process frequent up- dates to dynamic datasets efficiently by avoiding redundant computa- tion. Existing incremental extension to shared nearest neighbor density based clustering (SNND) algorithm cannot handle deletions to dataset and handles insertions only one point at a time. We present an incremen- tal algorithm to overcome both these bottlenecks by efficiently identify- ing affected parts of clusters while processing updates to dataset in batch mode. -
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MOGEN
The software for modeling the 3D structure of a genome using Hi-C data
The software builds 3D models of chromosomes or genome given chromosomal contacts data such as Hi-C, TCC, 5C. MOGEN was tested on simulated datasets. Using real Hi-C data of a human cell line, MOGEN built models that are consistent with knowledge about the genome of the cell line. Detail on how to use it: https://github.com/BDM-Lab/MOGEN It is published in Bioinformatics: http://bioinformatics.oxfordjournals.org/content/32/9/1286 Bioinformatics, Data Mining, Machine Learning (BDM) Laboratory, Jianlin Cheng, PhD Department of Computer Science University of Missouri, Columbia Email: chengji@missouri.edu -
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A Matlab software routine to perform Principal Component Analysis using Covariance, Correlation or Comedian as the criterion. Though, initially developed for experiments related to fretting wear but can be effectively used to interpret experimental data from any field. The attached files contain source code as well as a sample MATLAB (.mat) data file of 13 variables.
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GAKNN is a data mining software for gene annotation data. GAKNN is built with k- Nearest Neighbour algorithm optimized by the genetic algorithm. Gene annotation datasets saved under .csv or .arff formats with Gene Ontology or FunCat categorization can use GAKNN to predict gene functions.
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Random Bits Forest
RBF: a Strong Classifier/Regressor for Big Data
We present a classification and regression algorithm called Random Bits Forest (RBF). RBF integrates neural network (for depth), boosting (for wideness) and random forest (for accuracy). It first generates and selects ~10,000 small three-layer threshold random neural networks as basis by gradient boosting scheme. These binary basis are then feed into a modified random forest algorithm to obtain predictions. In conclusion, RBF is a novel framework that performs strongly especially on data... -
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matlab2tikz
Converts MATLAB®/Octave figures to TikZ/pgfplots figures
matlab2tikz is a MATLAB(R) script to convert native MATLAB(R) figures to TikZ/Pgfplots figures that integrate seamlessly in LaTeX documents. matlab2tikz supports the conversion of most MATLAB figures, including 2D and 3D plots. For plots constructed with third-party packages, your mileage may vary. Sometimes, MATLAB makes it hard to create matching LaTeX plots by keeping invisible objects around or stretching the plots too far beyond the bounding box. -
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Development of new data assimilation techniques for ocean models
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LorDG
3D genome reconstruction with Lorentzian objective function
LorDG is a software to build 3D chromosomes and genome model from chromosomal contact data such as Hi-C, TCC, 5C. Detail on how to use it: https://github.com/BDM-Lab/Lordg It is published in Nucleic Acids Research : http://nar.oxfordjournals.org/content/early/2016/11/29/nar.gkw1155.long Bioinformatics, Data Mining, Machine Learning (BDM) Laboratory, Jianlin Cheng, PhD Department of Computer Science University of Missouri, Columbia Email: chengji@missouri.edu -
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CAN Bus Logger
Logging CAN bus traffic on SD card
Usually professional tools like Vector, Softing, ETAS or DSPACE are used to log the CAN bus traffic in a vehicle or industrial setup. In some usecases, the data have to be converted to some other analysis tools like MatLab, Excel, SCILab or some free MatLab clones. With this cheap Arduino-based setup, it is possible to define messages and signals to be logged on the SD card. The measurement can be started and stopped by Bluetooth connection via handy. -
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Gene-Environment iNteraction Simulator 2
A tool able to simulate gene-environment and gene-gene interactions.
Gene-Environment iNteraction Simulator 2 (GENS2) simulates interactions among two genetic and one environmental factor and also allows for epistatic interactions. GENS2 is based on data with realistic patterns of linkage disequilibrium, and imposes no limitations either on the number of individuals to be simulated or on number of non-predisposing genetic/environmental factors to be considered. The GENS2 tool is able to simulate gene-environment and gene-gene interactions. To make the... -
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EpiMINE
program for mining epigenomic data
EpiMINE is a program designed for mining epigenomic data. This application performs genome wide based quantitative and correlative analysis between different annotated or raw chip-seq like datasets in the regions of interest (RI). Apart from this the tool takes the advantage in linking results with expression data. It is available both in graphical user interface and in command line form. -
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TraceX
MatLab App for calculating fitting isotopic exchange profile data
MatLab App for calculating fitting isotopic exchange profile data. Developed for measuring self-diffusivity and effective surface exchange coefficient of ion conducting materials. Requires MatLab image processing toolbox If you use this tool for you research, please cite my PhD thesis: Cooper, S. J. Quantifying the Transport Properties of Solid Oxide Fuel Cell Electrodes. -
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This project houses software to analyze data acquired from electrophysiology experiments. Currently, we have an Octave/MATLAB program to analyze electroneurogram traces of coupled oscillators, and a Perl library for the analysis of voltage trace data
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Orbit Wizard
Educational open source tool for the design of geocentric orbits
Orbit Wizard is an educational open source tool developed in Matlab GUIDE for the design and visualization of geocentric orbits. The current version is in an early phase of development. Please employ the Orbit Wizard forum to report bugs and suggestions. The developers of Orbit Wizard are Álvaro Romero Calvo and Fernando Soler Lanagrán. Orbit Wizard is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License v2.0 External... -
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Kohonen neural network library is a set of classes and functions for design, train and use Kohonen network (self organizing map) which is one of AI algorithms and useful tool for data mining and discovery knowledge in data (http://knnl.sf.net).
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A Matlab toolbox for geostatistical modelling, prediction and simulation. It contains native matlab algorithms, and interfaces to SGeMS, GSTAT and VISIM.
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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.
