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  2. Multiple correspondence analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple_correspondence...

    MCA is performed by applying the CA algorithm to either an indicator matrix (also called complete disjunctive table – CDT) or a Burt table formed from these variables. [citation needed] An indicator matrix is an individuals × variables matrix, where the rows represent individuals and the columns are dummy variables representing categories of the variables. [1]

  3. Catalog of MCA Control Patterns - Wikipedia

    en.wikipedia.org/wiki/Catalog_of_MCA_Control...

    In later work, his research group, together with Carl D Christensen and Johann Rohwer, developed a Python based tool called SymCA that was part of the PySCeSToolbox toolkit [3] [4] that could generate patterns automatically and symbolically from a description of the network. This software was used to generate the patterns shown below.

  4. Weighted product model - Wikipedia

    en.wikipedia.org/wiki/Weighted_product_model

    The weighted product model (WPM) is a popular multi-criteria decision analysis (MCDA) / multi-criteria decision making (MCDM) method. It is similar to the weighted sum model (WSM) in that it produces a simple score, but has the very important advantage of overcoming the issue of 'adding apples and pears' i.e. adding together quantities measured in different units.

  5. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  6. SciPy - Wikipedia

    en.wikipedia.org/wiki/SciPy

    SciPy (pronounced / ˈ s aɪ p aɪ / "sigh pie" [2]) is a free and open-source Python library used for scientific computing and technical computing. [3]SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

  7. Chunked transfer encoding - Wikipedia

    en.wikipedia.org/wiki/Chunked_transfer_encoding

    In chunked transfer encoding, the data stream is divided into a series of non-overlapping "chunks". The chunks are sent out and received independently of one another. No knowledge of the data stream outside the currently-being-processed chunk is necessary for both the sender and the receiver at any given time.

  8. reStructuredText - Wikipedia

    en.wikipedia.org/wiki/ReStructuredText

    reStructuredText (RST, ReST, or reST) is a file format for textual data used primarily in the Python programming language community for technical documentation.. It is part of the Docutils project of the Python Doc-SIG (Documentation Special Interest Group), aimed at creating a set of tools for Python similar to Javadoc for Java or Plain Old Documentation (POD) for Perl.

  9. Chunk (information) - Wikipedia

    en.wikipedia.org/wiki/Chunk_(information)

    A chunk is a fragment of information which is used in many multimedia file formats, such as PNG, IFF, MP3 and AVI. [1] Each chunk contains a header which indicates some parameters (e.g. the type of chunk, comments, size etc.). Following the header is a variable area containing data, which is decoded by the program from the parameters in the header.