clustering method
61Список терминов, относящихся к алгоритмам и структурам данных —   Это служебный список статей, созданный для координации работ по развитию темы.   Данное предупреждение не устанавливается на информационные списки и глоссарии …
62Список терминов — Список терминов, относящихся к алгоритмам и структурам данных   Это сл …
63Database — A database is an organized collection of data for one or more purposes, usually in digital form. The data are typically organized to model relevant aspects of reality (for example, the availability of rooms in hotels), in a way that supports… …
64Multispectral pattern recognition — Multispectral remote sensing is the collection and analysis of reflected, emitted, or back scattered energy from an object or an area of interest in multiple bands of regions of the electromagnetic spectrum (Jensen, 2005). Subcategories of… …
65Granular computing — is an emerging computing paradigm of information processing. It concerns the processing of complex information entities called information granules, which arise in the process of data abstraction and derivation of knowledge from information.… …
66Genetic algorithm — A genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of… …
67Principal components analysis — Principal component analysis (PCA) is a vector space transform often used to reduce multidimensional data sets to lower dimensions for analysis. Depending on the field of application, it is also named the discrete Karhunen Loève transform (KLT),… …
68Expectation-maximization algorithm — An expectation maximization (EM) algorithm is used in statistics for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables. EM alternates between performing an… …
69OPTICS algorithm — OPTICS ( Ordering Points To Identify the Clustering Structure ) is an algorithm for finding density based clusters in spatial data. It was presented by Mihael Ankerst, Markus M. Breunig, Hans Peter Kriegel and Jörg Sander[1]. Its basic idea is… …
70Hash table — Not to be confused with Hash list or Hash tree. Unordered map redirects here. For the proposed C++ class, see unordered map (C++). Hash Table Type unsorted dictionary Invented 1953 Time complexity in big O notation Average Worst case Space …
