Search Results for "data mining matlab" - Page 31
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Showing 800 open source projects for "data mining matlab"
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Unitret - a versatile software package for neurophysiological data analysis, MATLAB based.
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MUSASHI is a set of data processing commands designed for retrieving and processing large datasets efficiently in data mining, providing users with maximum control. MUSASHI can deal with both data formatted in XML Table and delimited text data.
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JMAT : Java MATrix tools package. Provides an easy-to-use class of matrix with MATLAB-like functions and syntax. JMAT also includes plots and histograms in 2D or 3D, an expression parser, and some statistic simulation tools.
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Weka-Parallel is a modification to Weka, created with the intention of being able to harness the power of Weka and the speed of parallel processing to be able to run a number of data mining and machine learning algorithms quickly.
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Frontier Data System is a collection programs for data acquisition and data mining. It uses MySQL and PHP to monitor process variables and performance of shop floor equipment. Produces information on issues such as cycle time, downtime and SPC.
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The ClustLib project is intended to build several C++ libraries with basic functionalities for clustering in the context of data mining. The planned packages include access to mysql databases, scaleable vector quantization, multidimensional density estim
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Harvestman is a context aware metasearch engine which functions as a universal infromation gatherer and data mining system for the internet.
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MatPy is a Python package for numerical linear algebra and plotting with a MatLab-like interface. It currently consists of wrappers around Numeric and Gnuplot packages, but eventually may be implemented directly in C/C++, or as interface to Octave.
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JAMATO : JAva MAtrix TOols package Provides an easy-to-use class of matrix with MATLAB-like functions. Jamato also includes Data Plots in 2D or 3D, Histograms in 2D or 3D, an expression parser, and some basic statistic simulation tools.
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Open source code for a wide range of software is now in abundance on the net. The goal of the CodeWeb project is to data mine software development experience that is inherent in this vast amount of code to enhance future development.
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The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining. Comprises useful routines for machine learning in general and for rough set theory in particular.
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Data Mining Platform is a platform for data mining and analysis. It contains many of the new and sophisticated methods such as kernel-based classification, two-way clustering, bayesian networks, pattern recognition for time series analysis and many other
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Matlab and Octave code to fit a mixture of Gaussians with covariance regularization to data using EM update rules.
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OpenGMP is an open service platform for implementing advanced decision support solutions for the mining enterprise.
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DMfDev
Data Mining applications
Data Mining applications -
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Gyroscope-step-modeling--Matlab
.h5 Data Modeling
My project about analyzing .h5 files- Step Separating Methods, Medial Filter, Calculating Perecentils of data, Using Interpolation. And .pptx Presentation of extended explanation for all process included. -
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MADR is a framework for analysis of series of images (2D data) where each pixel position have the same meaning in every image. Based on a statistical analysis, the images can then be visualised together with parameters from the analysis.
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This project collect several data mining methods, such as: 1) clustering methods; 2) biclustering methods; 3) FCA methods and etc.
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melissa
leveraging i2b2 for data mining
add datamining functionalities to i2b2 -
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LATINO stands for Link analysis and text mining toolbox. It is a software library providing a range of data mining and machine learning algorithms with the emphasis on text mining, link analysis, and data visualization.
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This is a collection of different little tools written in MATLAB, JAVA, Python. They all have to to do with Imaging & Microscopy for life science research and related topics or problems. Some of them are meant to be used with ImageJ and MicroManager.
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ifscat is an Interactive Feature Selection and Classification Tool for image processing and segmentation.
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IDIL is a cross-platform C++ library providing a simple interface for computing, data plotting and image analysis. The goal is to implement a set of C++ classes and functions which mimics the comprehensive syntax of languages like Scilab, Matlab or IDL.
