numerical mathematics, hierarchical matrices (H-matrices) are used as data-sparse approximations of non-sparse matrices. While a sparse matrix of dimension n...

A hierarchical organization or hierarchical organisation (see spelling differences) is an organizational structure where every entity in the organization...

function of many variables Hierarchical matrix, a data-sparse approximation of a non-sparse matrix Hilbert matrix, a square matrix with entries being the...

statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters...

curse in three steps: Hierarchical Clustering: Assets are grouped into clusters based on their correlations, forming a hierarchical tree structure. Quasi-Diagonalization:...

organization. The different types of organization charts include: Hierarchical Matrix Flat (also known as Horizontal) There is no accepted form for making...

published "Some hierarchical models for automatic document retrieval" in 1963 which also included a visual depiction of a document-term matrix. Salton was...

matrices used in mathematics, science and engineering. A matrix (plural matrices, or less commonly matrixes) is a rectangular array of numbers called entries...

culture management and matrix management, amongst others. None of these however has left behind the core tenets of Bureaucracy. Hierarchies still exist, authority...

mathematics, computer science and especially graph theory, a distance matrix is a square matrix (two-dimensional array) containing the distances, taken pairwise...

Cooley–Tukey FFT algorithm was originally designed for systems with hierarchical memory common in modern computers (and was the first FFT algorithm in...

A risk matrix is a matrix that is used during risk assessment to define the level of risk by considering the category of likelihood (often confused with...

marketing hierarchy, an engineering-oriented company produced "many ground-breaking computer systems." This is an example of cross-functional matrix management...

resin or thermoplastics as a binder Ceramic matrix composites (composite ceramic and metal matrices) Metal matrix composites advanced composite materials...

temporary matrix T, but a more practical variant achieves Θ(n2) speedup, without using a temporary matrix. On modern architectures with hierarchical memory...

in military intelligence, for uncovering insurgent networks of both hierarchical and leaderless nature.[citation needed] With the recent explosion of...

in terms of a hierarchical matrix approximation (HODLR) or basis function expansion (LatticeKrig, MRA, wavelets). The hierarchical matrix approach can...

Bauer integrated matrix and discrete systems into USQ, or Universal SQ. It was a hierarchical 4-4-4 discrete matrix that used the SQ matrix as the baseband...

Non-negative matrix factorization (NMF or NNMF), also non-negative matrix approximation is a group of algorithms in multivariate analysis and linear algebra...

in according quadrants in an Eisenhower matrix (also known as an Eisenhower box or Eisenhower decision matrix"). Tasks in the quadrants are then handled...

of the similarity matrix of the data to perform dimensionality reduction before clustering in fewer dimensions. The similarity matrix is provided as an...

matrix is represented as a sequential matrix of rows and the requirement is to access a single column of the matrix. Efficiency of memory hierarchy use:...

Complete-linkage clustering is one of several methods of agglomerative hierarchical clustering. At the beginning of the process, each element is in a cluster...

may be represented in hierarchical order. Modeling cognitive attributes using the AHM necessitates the specification of a hierarchy outlining the dependencies...

Nonlinear mixed-effects model Bayesian hierarchical modeling Restricted randomization also known as hierarchical linear models, linear mixed-effect models...

inverse of the covariance matrix. Hierarchical: algorithms which approximate the covariance matrix with a hierarchical matrix. These columns are about...

The Hierarchical navigable small world (HNSW) algorithm is a graph-based approximate nearest neighbor search technique used in many vector databases. Nearest...

used in many clustering techniques including K-means clustering and Hierarchical clustering. The Euclidean distance is a measure of the straight-line...

calcium carbonate are the minerals deposited in the chitin-protein hierarchical matrix. The sheep crab (Loxorhynchun grandis), like other crabs, has a highly...

C_{r}} , called communities; a symmetric r × r {\displaystyle r\times r} matrix P {\displaystyle P} of edge probabilities. The edge set is then sampled...