Search Results for "data mining matlab" - Page 13
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Showing 592 open source projects for "data mining matlab"
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Iris Classifier
The classifier for iris flowers (data mining)
This implements KNN algorithm. -
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Persica-A new Persian corpus for NLP
This project presents a new corpus for NEWS text analysis in Persian
Lack of multi-application text corpus despite of the surging text data is a serious bottleneck in the text mining and natural language processing especially in Persian language. This project presents a new corpus for NEWS articles analysis in Persian called Persica. NEWS analysis includes NEWS classification, topic discovery and classification, category classification and many more procedures. Dealing with NEWS has special requirements and first of all a valid and reliable corpus to perform the experiments on them. ... -
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PANDA
Passing Attributes between Networks for Data Assimilation
PANDA (Passing Attributes between Networks for Data Assimilation), is a message-passing model to gene regulatory network reconstruction. PANDA integrates multiple sources of biological data, including protein-protein interaction, gene expression, and sequence motif information, in order to reconstruct genome-wide, condition-specific regulatory networks. PANDA is also available in other programming languages, including: MATLAB/Octave: (1) https://drive.google.com/a/channing.harvard.edu/file/d/0BwVdzX3nIj6RamtmNVdKYVk1N2c/view?... -
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BudgetedSVM
BudgetedSVM: A C++ Toolbox for Large-scale, Non-linear Classification
...BudgetedSVM trains models with accuracy comparable to LibSVM in time comparable to LibLinear, as it allows solving highly non-linear classi fication problems with millions of high-dimensional examples within minutes on a regular personal computer. We provide command-line and Matlab interfaces to BudgetedSVM, efficient API for handling large-scale, high-dimensional data sets, as well as detailed documentation to help developers use and further extend the toolbox. -
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WaMoFi
Wa[velet] Mo[tif] Fi[nder]
WaMoFi: Is a method for finding protein motifs using the stored information from statistical contact potentials (aaindex) and the a representation by the continuous wavelet transform. Please use: R 3.1.0 and Matlab 2014 How to use: Just replace the directory and files In the head of the WaMoFi.m script. Then, run it in a matlab console. --dataset: your data set in a fasta file --labels: a file with the label/class per line --percTest: how much of the test will be used for finding the motifs?. 0.7 means the 70% of the sequences in each class are used to find the motifs, whereas, the 30% are used to validate those motifs. ... -
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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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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. -
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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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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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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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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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SPE Toolbox
MatLab functions for reading WinView/WinSpec .spe files
This toolbox is a collection of MatLab functions for reading WinView/WinSpec files (.spe extension) directly to MatLab. It provides functions for reading full header from file into a structure, reading frames into matrices, and reading pixel values across all frames. You can use these functions to analyse and process experiment data stored in .spe files in MatLab, and to write functions to export .spe files to animated GIFs for use in presentations. -
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Framework for text mining, data integration and data analysis. Keywords: ontology and graph alignment, relation mining, warehouse, semantic database integration, bioinformatics, systems biology, microarray, Java.
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FluxModules
Module Computation for Metabolic Networks
Genome Scale Metabolic Networks are complex systems, Modules help to break them down and hence ease understanding and algorithmic complexity. FluxModules is a toolbox with code for module detection and module visualization.
