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  2. MultiDimensional eXpressions - Wikipedia

    en.wikipedia.org/wiki/MultiDimensional_eXpressions

    The MultiDimensional eXpressions (MDX) language provides a specialized syntax for querying and manipulating the multidimensional data stored in OLAP cubes. [1] While it is possible to translate some of these into traditional SQL, it would frequently require the synthesis of clumsy SQL expressions even for very simple MDX expressions.

  3. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Is a method for displaying hierarchical data using nested figures, usually rectangles. For example, disk space by location / file type; Gantt chart: Gantt chart: color; time (flow) Type of bar chart that illustrates a project schedule; Modern Gantt charts also show the dependency relationships between activities and current schedule status.

  4. Multilevel model - Wikipedia

    en.wikipedia.org/wiki/Multilevel_model

    This is known as ecological fallacy, and statistically, this type of analysis results in decreased power in addition to the loss of information. [2] Another way to analyze hierarchical data would be through a random-coefficients model. This model assumes that each group has a different regression model—with its own intercept and slope. [5]

  5. Nested set model - Wikipedia

    en.wikipedia.org/wiki/Nested_set_model

    The nested set model is a technique for representing nested set collections (also known as trees or hierarchies) in relational databases.. It is based on Nested Intervals, that "are immune to hierarchy reorganization problem, and allow answering ancestor path hierarchical queries algorithmically — without accessing the stored hierarchy relation".

  6. Hierarchical clustering - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_clustering

    The standard algorithm for hierarchical agglomerative clustering (HAC) has a time complexity of () and requires () memory, which makes it too slow for even medium data sets. . However, for some special cases, optimal efficient agglomerative methods (of complexity ()) are known: SLINK [2] for single-linkage and CLINK [3] for complete-linkage clusteri

  7. Bayesian hierarchical modeling - Wikipedia

    en.wikipedia.org/wiki/Bayesian_hierarchical_modeling

    Bayesian hierarchical modelling is a statistical model written in multiple levels (hierarchical form) that estimates the parameters of the posterior distribution using the Bayesian method. [1] The sub-models combine to form the hierarchical model, and Bayes' theorem is used to integrate them with the observed data and account for all the ...

  8. Voronoi diagram - Wikipedia

    en.wikipedia.org/wiki/Voronoi_diagram

    A power diagram is a type of Voronoi diagram defined from a set of circles using the power distance; it can also be thought of as a weighted Voronoi diagram in which a weight defined from the radius of each circle is added to the squared Euclidean distance from the circle's center. [15]

  9. Analytic hierarchy process – car example - Wikipedia

    en.wikipedia.org/wiki/Analytic_hierarchy_process...

    The Jones' hierarchy could be diagrammed as shown below: AHP hierarchy for the car buying decision. The goal is green, the criteria and subcriteria are yellow, and the alternatives are pink. All the alternatives (three different models of Honda) are shown below the lowest level of each criterion.