Showing 6 open source projects for "classification"

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  • 1

    Faum

    Fast Autonomous Unsupervised Multidimiensional Classification

    This is the proof-of-concept implementation of the FAUM Clustering method. This implementation was used to perform the published results and is now released in the hope that it will be useful.
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  • 2
    OzGIS free open-source  mapping system

    OzGIS free open-source mapping system

    Analysis and display of Census, business, government attribute data

    OzGIS is an extensive mapping system for the analysis and display of geographically referenced data. Map data are downloaded from Census bureaux and map agencies or extracted from your own databases. The system can be used to to support management decisions associated with, for example, government planning, marketing, sales, site and personnel location, advertising and research. Systems for Windows, Mac and Ubuntu, source code, sample data files and manuals are included. DOWNLOAD to...
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  • 3

    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.
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  • 4

    bnns

    Research tool for interactive training of artificial neural networks.

    ...It enables users to simulate, visualize and interact in the learning process of a Multi-Layer Perceptron on tasks which have a 2D character. Tasks like the famous two-spirals task or classification of satellite image data.
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  • 5

    WaveSorter

    A powerful, versatile tool for offilne spike analysis and sorting

    ...Within the waveform space, cursor-based controls let the user select subregions of the waveform space or individual waveforms to view. The user may cluster waveforms manually or via one of several popular clustering programs. The classification along with waveform properties (width, etc.) can be saved to disk in simple text files. WaveSorter is written in C++, utilizes the GNU Scientific Library for all computation, and is highly parallelized; on modern hardware it can handle files containing several 100,000s of waveforms per channel with almost no noticeable loss in GUI fluidity and <1sec lags for files with >1,000,000 waveforms per channel. ...
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  • 6
    A project designed to convert numerical data in various formats into playable sound files for visualization and classification purposes.
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