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  2. Orange (software) - Wikipedia

    en.wikipedia.org/wiki/Orange_(software)

    Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.

  3. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    OpenNN: Open neural networks library. Orange: A component-based data mining and machine learning software suite written in the Python language. PSPP: Data mining and statistics software under the GNU Project similar to SPSS; R: A programming language and software environment for statistical computing, data mining, and graphics.

  4. List of free and open-source software packages - Wikipedia

    en.wikipedia.org/wiki/List_of_free_and_open...

    OpenNN – Open-source neural network software library written in C++; Orange (software) – Data visualization and data mining for novice and experts, through visual programming or Python scripting. Extensions for bioinformatics and text mining

  5. KNIME - Wikipedia

    en.wikipedia.org/wiki/KNIME

    ELKI – data mining framework with many clustering algorithms; Keras - neural network library; Orange - an open-source data visualization, machine learning and data mining toolkit with a similar visual programming front-end; List of free and open-source software packages

  6. Hierarchical clustering - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_clustering

    Orange, a data mining software suite, includes hierarchical clustering with interactive dendrogram visualisation. R has built-in functions [22] and packages that provide functions for hierarchical clustering. [23] [24] [25] SciPy implements hierarchical clustering in Python, including the efficient SLINK algorithm.

  7. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning.In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations.

  8. Graph neural network - Wikipedia

    en.wikipedia.org/wiki/Graph_neural_network

    The gated graph sequence neural network (GGS-NN) was introduced by Yujia Li et al. in 2015. [39] The GGS-NN extends the GNN formulation by Scarselli et al. [ 2 ] to output sequences. The message passing framework is implemented as an update rule to a gated recurrent unit (GRU) cell.

  9. Exploratory data analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_data_analysis

    KNIME, Konstanz Information Miner – Open-Source data exploration platform based on Eclipse. Minitab, an EDA and general statistics package widely used in industrial and corporate settings. Orange, an open-source data mining and machine learning software suite. Python, an open-source programming language widely used in data mining and machine ...