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pattern classification algorithm

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  • Classification in machine learning — See also: Pattern recognition This section needs integrating with Statistical classification (Discuss). Integration means cross linking and distinguishing (to/from each other), or sometimes merging (if consensus suggests). In machine learning and …   Wikipedia

  • Classification double — La Classification double ou « Biclustering » est une technique d exploration de données non supervisée permettant de segmenter simultanément les lignes et les colonnes d une matrice. Plus formellement[1], la définition de la… …   Wikipédia en Français

  • k-nearest neighbor algorithm — KNN redirects here. For other uses, see KNN (disambiguation). In pattern recognition, the k nearest neighbor algorithm (k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance… …   Wikipedia

  • K-nearest neighbor algorithm — In pattern recognition, the k nearest neighbor algorithm ( k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance based learning, or lazy learning where the function is only… …   Wikipedia

  • Multispectral 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… …   Wikipedia

  • Ramer–Douglas–Peucker algorithm — The Douglas–Peucker algorithm is an algorithm for reducing the number of points in a curve that is approximated by a series of points. The initial form of the algorithm was independently suggested in 1972 by Urs Ramer and 1973 by David Douglas… …   Wikipedia

  • Features (pattern recognition) — In pattern recognition, features are the individual measurable heuristic properties of the phenomena being observed. Choosing discriminating and independent features is key to any pattern recognition algorithm being successful in classification.… …   Wikipedia

  • Prior knowledge for pattern recognition — Pattern recognition is a very active field of research intimately bound to machine learning. Also known as classification or statistical classification, pattern recognition aims at building a classifier that can determine the class of an input… …   Wikipedia

  • String searching algorithm — String searching algorithms, sometimes called string matching algorithms, are an important class of string algorithms that try to find a place where one or several strings (also called patterns) are found within a larger string or text. Let Σ be… …   Wikipedia

  • Software design pattern — In software engineering, a design pattern is a general reusable solution to a commonly occurring problem within a given context in software design. A design pattern is not a finished design that can be transformed directly into code. It is a… …   Wikipedia

  • Memetic algorithm — Memetic algorithms (MA) represent one of the recent growing areas of research in evolutionary computation. The term MA is now widely used as a synergy of evolutionary or any population based approach with separate individual learning or local… …   Wikipedia

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