Search Results for "data mining matlab" - Page 17
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Showing 800 open source projects for "data mining matlab"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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GDB-ILI extends the GNU debugger with a generic interface to various interpreter languages. Features: Data transfer from/to debugee, direct interaction in interpreter shell, extended breakpoints,... Support for Matlab(R) and GNU Octave is included.
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...This rubric is very useful in many applications including robot navigation, terrain modeling, remote surgery, shape analysis, computer interaction, scientific visualization, movie making, and computer aided design. In this work, we studied photometric stereo approach as a single view 3D reconstruction technique, performed experimental validations on synthetic data. Matlab implementation is available. My co-worker was Mrs. Z. Alavi.
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giServer
giServer the easy to use and extensible batch and integration server
...Instead of using complex XML configuration files an elaborate GUI for batch job management is included. Some possible usage scenarios are: - Automatic processing of incoming data files - Big Data applications - Process automation - Data Mining/Aggregation applications - Automatic Reporting - Processing and analysis of database records -
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* We store, index, search tenant requirement in the flat file system. * Index the data in the file system using Apache Lucene into lucene index directory * Perform Keyword search based on keyword and number matches. * Add requirements published by user and assign category to the published data by matching to close requirement stored in lucene index directory. * This project provide GUI and REST webservices to perform keyword search and publish requirement.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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The EasyDIAg toolbox allows the calculation of inter-rater agreement timed-event sequential data taking into account errors of commission and ommision.
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METAlab GTG
Matlab toolbox to run a GLM on graph theoretic properties in MRI data
...The toolbox also provides a data processing path for resting state fMRI data. Several options for partialing nuisance signals are available, including local and total white matter signal (Jo et al., 2013), calculation of Saad et al. (2013)'s GCOR, and the use of Chen et al. (2012) GNI method to determine whether global signal partialing is needed. In addition, Power et al. (2014)'s motion scrubbing method is available. -
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MRA
A general recommender system with basic models and MRA
Multi-categorization Recommendation Adjusting (MRA) is to optimize the results of recommendation based on traditional(basic) recommendation models, through introducing objective category information and taking use of the feature that users always get the habits of preferring certain categories. Besides this, there are two advantages of this improved model: 1) it can be easily applied to any kind of existing recommendation models. And 2) a controller is set in this improved model to provide... -
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Inline fortran functions
Fortran emulation of Matlab inline functions
This is a set Fortran 2003 modules that allows to call "formula" objects that resemble the Matlab inline functions (also called "anonymous" or "lambda" functions in other languages). User can give a formula in a string and evaluate it through an eval procedure. The implementations take advantage of the Fortran 2003 procedure pointers to speed up the formula evaluation. These modules also permit to define "expressions". A expression is an uniform way to work with several data types: constants, interpolation tables, formulas and precompiled functions. ... -
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webtextanalysis
Mining knowledge from text data
This project aims to implement in java the following text mining techniques: Text Language Detection, Keywords and keyphrases extraction, Text Classification, Text Clustering, Single or multiple documents Summarization, Plagiarism Detection. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Graph-RAT is a database abstraction layer designed to make it easy to use a large library of graph-analysis routines on a database as well as add new kinds of algorithms to data mining.
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Geospace Analysis Package
MatLab toolbox for magnetospheric and ionospheric science.
A MatLab toolbox with many simple and useful functions for analyzing data from Cluster, Champ and the Swarm missions. Other functions for space plasma physics, magnetospheric and ionospheric research are included. The toolbox is designed to be as simple as possible. Each function can be learned and used individually. See the tutorial in the Files section for a quick introduction. -
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RIPE (Regulatory network Inference from joint Perturbation and Expression data) is a novel three-step method that integrates both perturbation data and steady state gene expression data in order to estimate a regulatory network. The ripe package is written in R, with additional functionality provided by a MATLAB executable file. The executable file uses a runtime engine called the MATLAB Compiler Runtime (MCR).
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Software for automated acquisition and analysis of paleomagnetic and rock magnetic data using the RAPID System.
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PlaTypUS
Plasmodium Typing Utility Software
The goal of PlaTypUS is to establish a unified Plasmodium whole genome analysis tool, that aligns short read sequences in an agreed upon manner, with many quality control steps, and calls both SNVs and CNVs in a community agreed standard way. We also seek to provide this analysis in a stand-alone graphic user interface so that labs around the world can analyze their own whole genome sequencing data, rather than relying on outside institutes. -
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RepoMiner
A tool for mining software repository
RepoMiner is a library for the Eclipse development environment, it is easily extensible and is able to perform collection of a large amount of data from software repositories, in order to extract an accurate historical analysis of the entire development process. The main components are: metrics extractor for Java projects, Issue extractor for the issue tracker Bugzilla and a fine-grained changes extractor for Git repositories. -
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Matlab Community Detection Toolbox
CDTB is a MATLAB toolbox which performs Community Detection
...The CDTB can be used in at least three ways. The user can employ the functions from the MATLAB command line; or he can write his own code, incorporating the CDTB functions; or he can use the Graphical User Interface (GUI) which automates the community detection and includes some data visualization options. -
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TrackArt
GUI for diffusion simulation and SMT data analysis
TrackArt is a simple MATLAB GUI for single particle tracking data analysis and simulation. -
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cmotif
A method for mining conditional phosphorylation motifs
Phosphorylation motifs represent position-specific amino acid patterns around the phosphorylation sites in the set of phosphopeptides. The discovery of phosphorylation motifs is a very valuable work in bioinformatics. Although several algorithms have been proposed to uncover phosphorylation motifs, the problem of efficiently discovering a set of significant motifs with sufficiently high coverage and non-redundancy still remains unsolved. In this paper, we propose an algorithm called C-Motif... -
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pymatlab
A pythonic interface to MATLAB
This package lets Python users interface and communicate with MATLAB from Python. Pymatlab makes it easier for users to integrate a project with a large MATLAB codebase into python scripts by using MATLAB scripts as a part of the python program. The basic functionality of this package is to send data from Python to MATLAB's workspace to be able to run Matlab function on the data. ... -
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ImageComponentParser
Matlab tool for automated analysis of Voltage and Calcium Imaging Data
The ImageComoponentParser is a matlab tool for automated analysis of Voltage and Calcium Imaging Data. The main functionality is automated extraction of component signals using PCA and ICA. The GUI enables the user to alter the settings, browse the components, manually remove artifacts, and visualize functional activity. -
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Visualization and clustering analysis of X-Ray diffraction data from combinatorial thin film libraries.
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octave-ms
Collection of routines for manipulation with mass spectrometry data
octave-ms is a collection of IO routines for manipulation with mass spectrometry datasets for octave users. It can handle variety of MS storage file formats including MGF, DTA, PKL, MZXML, MZDATA and MZML, converts MS data from one format to another, extract scans from MS datasets. Combined with octave statistical packages, it can be easy implemented to perform stat tests on various parameters of spectrum. It requires working knowledge in Octave/Matlab. -
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Cost-sensitive Classifiers
Adaboost extensions for cost-sentive classification
Adaboost extensions for cost-sentive classification CSExtension 1 CSExtension 2 CSExtension 3 CSExtension 4 CSExtension 5 AdaCost Boost CostBoost Uboost CostUBoost AdaBoostM1 Implementation of all the listed algorithms of the cluster "cost-sensitive classification". They are the meta algorithms which requires base algorithms e.g. Decision Tree Moreover, Voting criteria is also required e.g. Minimum expected cost criteria Input also requires to load an arff file and a... -
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AMICA
Adaptive Mixture Independent Component Analysis with Shared Components
Multiple mixture ICA, where model means and independent components are learned. It is possible to reject data and share component between models to increase efficiency. Matlab and independent gui (using Qt) nterfaces available. Uses MPI and OpenMP for inter-node and intra-node parallelization.
