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  2. Multiple correspondence analysis - Wikipedia

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

    Oppositions between rows and columns are then maximized, in order to uncover the underlying dimensions best able to describe the central oppositions in the data. As in factor analysis or principal component analysis, the first axis is the most important dimension, the second axis the second most important, and so on, in terms of the amount of ...

  3. Determining the number of clusters in a data set - Wikipedia

    en.wikipedia.org/wiki/Determining_the_number_of...

    The average silhouette of the data is another useful criterion for assessing the natural number of clusters. The silhouette of a data instance is a measure of how closely it is matched to data within its cluster and how loosely it is matched to data of the neighboring cluster, i.e., the cluster whose average distance from the datum is lowest. [8]

  4. Multidimensional analysis - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_analysis

    In statistics, econometrics and related fields, multidimensional analysis (MDA) is a data analysis process that groups data into two categories: data dimensions and measurements. For example, a data set consisting of the number of wins for a single football team at each of several years is a single-dimensional (in this case, longitudinal) data set.

  5. Data set - Wikipedia

    en.wikipedia.org/wiki/Data_set

    The data set lists values for each of the variables, such as for example height and weight of an object, for each member of the data set. Data sets can also consist of a collection of documents or files. [2] In the open data discipline, data set is the unit to measure the information released in a public open data repository. The European data ...

  6. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  7. Amgen (AMGN) Q4 2024 Earnings Call Transcript - AOL

    www.aol.com/finance/amgen-amgn-q4-2024-earnings...

    Image source: The Motley Fool. Amgen (NASDAQ: AMGN) Q4 2024 Earnings Call Feb 04, 2025, 4:30 p.m. ET. Contents: Prepared Remarks. Questions and Answers. Call ...

  8. Novo Nordisk (NVO) Q4 2024 Earnings Call Transcript - AOL

    www.aol.com/novo-nordisk-nvo-q4-2024-170022761.html

    Image source: The Motley Fool. Novo Nordisk (NYSE: NVO) Q4 2024 Earnings Call Feb 05, 2025, 7:00 a.m. ET. Contents: Prepared Remarks. Questions and Answers. Call ...

  9. Aurora Cannabis (ACB) Q3 2025 Earnings Call Transcript - AOL

    www.aol.com/aurora-cannabis-acb-q3-2025...

    Image source: The Motley Fool. Aurora Cannabis (NASDAQ: ACB) Q3 2025 Earnings Call Feb 05, 2025, 8:00 a.m. ET. Contents: Prepared Remarks. Questions and Answers. Call Participants