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  2. Hierarchical matrix - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_matrix

    In numerical mathematics, hierarchical matrices (H-matrices) [1] [2] [3] are used as data-sparse approximations of non-sparse matrices. While a sparse matrix of dimension can be represented efficiently in () units of storage by storing only its non-zero entries, a non-sparse matrix would require () units of storage, and using this type of matrices for large problems would therefore be ...

  3. UPGMA - Wikipedia

    en.wikipedia.org/wiki/UPGMA

    First distance matrix update We then proceed to update the initial distance matrix D 1 {\displaystyle D_{1}} into a new distance matrix D 2 {\displaystyle D_{2}} (see below), reduced in size by one row and one column because of the clustering of a {\displaystyle a} with b {\displaystyle b} .

  4. Lewandowski-Kurowicka-Joe distribution - Wikipedia

    en.wikipedia.org/wiki/Lewandowski-Kurowicka-Joe...

    Bayesian hierarchical modeling often tries to make an inference on the covariance structure of the data, which can be decomposed into a scale vector and correlation matrix. [3] Instead of the prior on the covariance matrix such as the inverse-Wishart distribution , LKJ distribution can serve as a prior on the correlation matrix along with some ...

  5. Gaussian process approximations - Wikipedia

    en.wikipedia.org/wiki/Gaussian_process...

    The general principle of hierarchical approximations consists of a repeated application of some other method, such that each consecutive application refines the quality of the approximation. Even though they can be expressed as a set of statistical assumptions, they are often described in terms of a hierarchical matrix approximation (HODLR) or ...

  6. Ward's method - Wikipedia

    en.wikipedia.org/wiki/Ward's_method

    Ward's minimum variance method is a special case of the objective function approach originally presented by Joe H. Ward, Jr. [1] Ward suggested a general agglomerative hierarchical clustering procedure, where the criterion for choosing the pair of clusters to merge at each step is based on the optimal value of an objective function. This ...

  7. H-matrix - Wikipedia

    en.wikipedia.org/wiki/H-matrix

    H-matrix can refer to various kinds of matrices denoted by the letter H: H-matrix, a matrix whose comparison matrix is an M-matrix; Hadamard matrix, a square matrix whose entries are either +1 or −1 and whose rows are mutually orthogonal; Hamiltonian matrix, a 2n × 2n matrix A such that JA is symmetric, where J is the skew-symmetric matrix

  8. Today's Wordle Hint, Answer for #1304 on Monday ... - AOL

    www.aol.com/todays-wordle-hint-answer-1304...

    SPOILERS BELOW—do not scroll any further if you don't want the answer revealed. The New York Times. Today's Wordle Answer for #1304 on Monday, January 13, 2025.

  9. Organizational chart - Wikipedia

    en.wikipedia.org/wiki/Organizational_chart

    Hierarchical; Matrix; Flat (also known as Horizontal) There is no accepted form for making organization charts other than putting the principal official, department or function first, or at the head of the sheet, and the others below, in the order of their rank. The titles of officials and sometimes their names are enclosed in boxes or circles.