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chain algorithm

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  • Nearest-neighbor chain algorithm — In the theory of cluster analysis, the nearest neighbor chain algorithm is a method that can be used to perform several types of agglomerative hierarchical clustering, using an amount of memory that is linear in the number of points to be… …   Wikipedia

  • Lempel-Ziv-Markov chain algorithm — The Lempel Ziv Markov chain Algorithm (LZMA) is an algorithm used to perform data compression. It has been under development since 1998 [The SDK history file states that it was in development from 1996, and first used in 7 zip 2001 08 30. Aside… …   Wikipedia

  • Lempel-Ziv-Markoff chain-Algorithm — Lempel Ziv Markow Algorithmus (LZMA) ist ein freier Datenkompressionsalgorithmus, der von Igor Pavlov seit 1998 entwickelt wird und vergleichsweise gute Kompressionsraten und eine hohe Geschwindigkeit beim Entpacken erreicht. Er ist benannt nach… …   Deutsch Wikipedia

  • Lempel-Ziv-Markov chain-Algorithm — Lempel Ziv Markow Algorithmus (LZMA) ist ein freier Datenkompressionsalgorithmus, der von Igor Pavlov seit 1998 entwickelt wird und vergleichsweise gute Kompressionsraten und eine hohe Geschwindigkeit beim Entpacken erreicht. Er ist benannt nach… …   Deutsch Wikipedia

  • Lempel-Ziv-Markow chain-Algorithm — Lempel Ziv Markow Algorithmus (LZMA) ist ein freier Datenkompressionsalgorithmus, der von Igor Pavlov seit 1998 entwickelt wird und vergleichsweise gute Kompressionsraten und eine hohe Geschwindigkeit beim Entpacken erreicht. Er ist benannt nach… …   Deutsch Wikipedia

  • Chain code — A chain code is a lossless compression algorithm for monochrome images. The basic principle of chain codes is to separately encode each connected component, or blot , in the image. For each such region, a point on the boundary is selected and its …   Wikipedia

  • Addition-chain exponentiation — In mathematics and computer science, optimal addition chain exponentiation is a method of exponentiation by positive integer powers that requires a minimal number of multiplications. It works by creating a minimal length addition chain that… …   Wikipedia

  • Markov chain geostatistics — refer to the Markov chain models, simulation algorithms and associated spatial correlation measures (e.g., transiogram) based on the Markov chain random field theory, which extends a single Markov chain into a multi dimensional field for… …   Wikipedia

  • Metropolis–Hastings algorithm — The Proposal distribution Q proposes the next point that the random walk might move to. In mathematics and physics, the Metropolis–Hastings algorithm is a Markov chain Monte Carlo method for obtaining a sequence of random samples from a… …   Wikipedia

  • Markov chain — A simple two state Markov chain. A Markov chain, named for Andrey Markov, is a mathematical system that undergoes transitions from one state to another, between a finite or countable number of possible states. It is a random process characterized …   Wikipedia

  • Matrix chain multiplication — is an optimization problem that can be solved using dynamic programming. Given a sequence of matrices, we want to find the most efficient way to multiply these matrices together. The problem is not actually to perform the multiplications, but… …   Wikipedia

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