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correlation algorithm

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  • Cascade correlation algorithm — Cascade Correlation is an architecture and supervised learning algorithm for artificial neural networks developed by Scott Fahlman.Instead of just adjusting the weights in a network of fixed topology, Cascade Correlation begins with aminimal… …   Wikipedia

  • Correlation clustering — In machine learning, correlation clustering or cluster editing operates in a scenario where the relationship between the objects are known instead of the actual representation of the objects. For example, given a signed graph G = (V,E) where the… …   Wikipedia

  • Correlation — In probability theory and statistics, correlation, (often measured as a correlation coefficient), indicates the strength and direction of a linear relationship between two random variables. In general statistical usage, correlation or co relation …   Wikipedia

  • Correlation attack — In cryptography, correlation attacks are a class of known plaintext attacks for breaking stream ciphers whose keystream is generated by combining the output of several linear feedback shift registers (called LFSRs for the rest of this article)… …   Wikipedia

  • Correlation immunity — In mathematics, the correlation immunity of a Boolean function is a measure of the degree to which its outputs are uncorrelated with some subset of its inputs. Specifically, a Boolean function is said to be correlation immune of order m if every… …   Wikipedia

  • Gauss–Newton algorithm — The Gauss–Newton algorithm is a method used to solve non linear least squares problems. It can be seen as a modification of Newton s method for finding a minimum of a function. Unlike Newton s method, the Gauss–Newton algorithm can only be used… …   Wikipedia

  • Digital image correlation — and Tracking (DIC/DDIT) is an optical method that employs tracking image registration techniques for accurate 2D and 3D measurements of changes in images. This is often used to measure deformation (engineering), displacement, and strain, but it… …   Wikipedia

  • OPTICS 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… …   Wikipedia

  • Partial correlation — In probability theory and statistics, partial correlation measures the degree of association between two random variables, with the effect of a set of controlling random variables removed. Contents 1 Formal definition 2 Computation 2.1 Using… …   Wikipedia

  • Cooley–Tukey FFT algorithm — The Cooley–Tukey algorithm, named after J.W. Cooley and John Tukey, is the most common fast Fourier transform (FFT) algorithm. It re expresses the discrete Fourier transform (DFT) of an arbitrary composite size N = N1N2 in terms of smaller DFTs… …   Wikipedia

  • Cooley-Tukey FFT algorithm — The Cooley Tukey algorithm, named after J.W. Cooley and John Tukey, is the most common fast Fourier transform (FFT) algorithm. It re expresses the discrete Fourier transform (DFT) of an arbitrary composite size N = N 1 N 2 in terms of smaller… …   Wikipedia

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