Showing 246 open source projects for "clustering"

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  • 1
    Cybermen - SPC

    Cybermen - SPC

    Services platform in cluster for Java.

    Cybermen - SPC (Services Platform in Cluster) es una plataforma de servicios y clúster de procesamiento distribuido, orientado principalmente al desarrollo de aplicaciones de supervisión, control y adquisición de datos (SCADA) y control distribuido (DCS). Cybermen - SPC de por sí, no hace a las aplicaciones SCADA o DCS, pero constituye una base para el desarrollo de este tipo de soluciones, basándose para las mismas en una arquitectura de servicios colaborativos (SOA) y operando en un...
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  • 2
    A community repository to develop Commodity Grid (CoG) Software for the access of Grids, through high level interfaces. The main repository is maintained at http://www.cogkit.org
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  • 3
    BiMS

    BiMS

    BiMS (biclustering for mass spectrometry data) is a Java application d

    BiMS (biclustering for mass spectrometry data) is a Java application designed to allow the application of biclustering algorithms to mass spectrometry datasets. Users can load their MS datasets and apply different clustering and biclustering algorithms (current version includes Bimax and BiBit). In adition, users can load raw datasets (in mzML or mzXML formats) and preprocess them using MALDIquant package and MassSpecWavelet.
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  • 4
    Luscinia is a program for archiving and analyzing field sound recordings (especially of animals). It incorporates an interface to a database, spectrogram measurement algorithms, sound comparison algorithms, and statistical analysis.
    Downloads: 1 This Week
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  • 5

    Deem

    Analyze time-course data with significance tests, clustering, modeling

    Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional...
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  • 6
    Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...
    Downloads: 2 This Week
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  • 7
    PARUS

    PARUS

    Dataflow parallel programming language for clusters

    PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it.
    Downloads: 2 This Week
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  • 8
    Weka4OC GUI for Overlapping clustering

    Weka4OC GUI for Overlapping clustering

    Weka4OC: Weka for Overlapping Clustering is a GUI extending WEKA

    This is a GUI application for learning non disjoint groups based on Weka machine learning framework. It offers a variety of learning methods, based on k-means, able to produce overlapping clusters. The application also contains an evaluation framework that calculates several external validation measures. The application offers a visualization tool to discover overlapping groups.
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  • 9
    SrcDS Control

    SrcDS Control

    Cross platform administration tool for Source Engine dedicated servers

    Cross platform (Windows, Mac, Linux) GUI/command line based administration tool for Valve Source Engine dedicated game servers (srcds). Target audiences: - Individuals who want to set up a dedicated server without having to work with command line tools and config files - Experienced groups managing multiple servers/hosts
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  • 10

    ktree

    clustering, machine learning, algorithms

    This project has moved to github at http://lmwtree.devries.ninja.
    Downloads: 0 This Week
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  • 11

    Fast Matrix for Java

    General purpose matrix utilities for Java in Parallel Computing

    Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors.
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  • 12
    PerfSuite
    A collection of performance analysis software that can assist with a variety of techniques useful for application software optimization and benchmarking. The current release provides support for analysis with hardware performance counters on Linux.
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  • 13
    Unsupervised TXT classifier

    Unsupervised TXT classifier

    Classify any two TXT documents, no training required - JAVA

    ...First, over-training and second, shortage of data for a training of categories. Instead, each TXT file is a category on its own, rather than an assigned category. In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer gets trained with A to summarize a document B, and vice versa. This extracts a relevant structure for both documents (and thus avoids the over-training) which are then compared using the Vector-Space analysis to give a range of belonging of one document to another (and thus avoids the shortage of information). ...
    Downloads: 0 This Week
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  • 14

    avimmir

    (audio, video, image) Multimedia Multimodal Information Retrieval

    audio classification; speaker segmentation; speaker clustering; speaker recognition; spoken document retrieval; image retrieval; video retrieval; etc.
    Downloads: 0 This Week
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  • 15
    A Java servlet filter which moves session storage out of the java application container, allowing to scale easily by adding more servers, without using a cluster nor changing the code. Session data can be stored into a cookie, memcached, a DB ...
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  • 16

    TextProcessor

    A Java package to preprocess text datasets for posterior text analysis

    ...Basic topic mining models such as LDA and sparse NMF are also supported. The package can also generate feature files from a given text dataset with LDA and LIBSVM format for posterior procedures such as classification or clustering. The toolkit is also being extended for more advanced text analysis tasks based on natural language processing techniques.
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  • 17
    DocCO

    DocCO

    Non-disjoint groupping of Documents based on word sequence approach

    This is a GUI for learning non disjoint groups of documents based on Weka machine learning framework. It offers the possibility to make non disjoint clustering of documents using both vectorial and sequential representation (word sequence approach based on WSK kernel). All data format supported by WEKA could be used in DocCO. Data could be loaded from files, from databases or from specified URL. All the preprocessing techniques implemented in WEKA could be used before performing the learning.
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  • 18

    TML - Text Mining Library for LSA & CMM

    TML is a Java Library for LSA and extracting Concept Maps from text

    TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml
    Downloads: 0 This Week
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  • 19
    NOTE: UBMoD is no longer actively developed and we encourage you to download Open XDMoD as a replacement for UBMoD. Open XDMoD has been developed to provide detailed information on resource utilization and performance for academic and industrial HPC centers. More information is available at http://xdmod.sourceforge.net/ UBMoD is a data warehouse and web portal for mining statistical data from resource managers in high-performance computing environments. UBMoD presents resource...
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  • 20
    feed4weka is an open library that enriches weka (http://www.cs.waikato.ac.nz/ml/weka/), an open source project for data analysis. It integrates new classification and clustering algorithms, and adds the coclustering and outlier detection frameworks
    Downloads: 0 This Week
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  • 21
    Constellio Enterprise Search engine

    Constellio Enterprise Search engine

    Open source Search Engine and Enterprise Search

    Constellio is an enterprise search engine that allows companies to search all their organization's information through a single interface (Web, CRM, ERP, ECM, Mail etc.). Constellio is Based on Apache Solr and Google Search Appliance's connector. Constellio has a powerful web crawler.
    Downloads: 0 This Week
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  • 22

    HA-JDBC

    High-Availability JDBC

    A JDBC driver proxy that adds light-weight, transparent, fault tolerant clustering capability to any underlying JDBC driver.
    Downloads: 0 This Week
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  • 23

    Ticket Cluster

    Java aplication who groups related text documents, text mining

    ...Once created the folder with text, run ticket cluster, select folder and click process. After processing is done you can watch results in dendogram or tree. Text mining, text clustering using LINGO
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  • 24

    ForeIndex

    Distributed Index with Apache Hadoop, Apache Lucene and Apache Tika

    This is a distributed index framework using Apache Hadoop, Apache Lucene and Apache Tika, to index large volume of data.
    Downloads: 0 This Week
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  • 25

    EGA

    A novel and effictive GA algorithm to solve optimization problem

    Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems. To address this problem, we present an efficient genetic algorithm by the combination with clustering methods. The high efficiency of the proposed method results from the fitness estimation and the schema discovery of partial individuals in current population and. Specifically, the clustering method used in this paper is affinity propagation. The numerical experiments demonstrate that the proposed method performs promisingly for well-known benchmark problems in the term of optimization accuracy.
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