high dimensionality

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• High-dimensional statistics — High Dimensional StatisticsHigh dimensional statistics is the branch of mathematical and applied multivariate statistics aimed at treatment of statisical data whose dimension is so large that it is comparable in magnitude to sample size and may… …   Wikipedia

• Curse of dimensionality — The curse of dimensionality refers to various phenomena that arise when analyzing and organizing high dimensional spaces (often with hundreds or thousands of dimensions) that do not occur in low dimensional settings such as the physical space… …   Wikipedia

• Clustering high-dimensional data — is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions. Such high dimensional data spaces are often encountered in areas such as medicine, where DNA microarray technology can produce a large number of… …   Wikipedia

• Nonlinear dimensionality reduction — High dimensional data, meaning data that requires more than two or three dimensions to represent, can be difficult to interpret. One approach to simplification is to assume that the data of interest lies on an embedded non linear manifold within… …   Wikipedia

• Multifactor dimensionality reduction — (MDR) is a data mining approach for detecting and characterizing combinations of attributes or independent variables that interact to influence a dependent or class variable. MDR was designed specifically to identify interactions among discrete… …   Wikipedia

• Semantic mapping (statistics) — The semantic mapping (SM) is a dimensionality reduction method that extracts new features by clustering the original features in semantic clusters and combining features mapped in the same cluster to generate an extracted feature. Given a data… …   Wikipedia

• Multiple-try Metropolis — In Markov chain Monte Carlo, the Metropolis–Hastings algorithm (MH) can be used to sample from a probability distribution which is difficult to sample from directly. However, the MH algorithm requires the user to supply a proposal distribution,… …   Wikipedia

• Mean field theory — (MFT, also known as self consistent field theory) is a method to analyse physical systems with multiple bodies. A many body system with interactions is generally very difficult to solve exactly, except for extremely simple cases (random field… …   Wikipedia

• Color histogram — Not to be confused with Image histogram. In image processing and photography, a color histogram is a representation of the distribution of colors in an image. For digital images, a color histogram represents the number of pixels that have colors… …   Wikipedia

• Word-sense disambiguation — Disambiguation redirects here. For other uses, see Disambiguation (disambiguation). In computational linguistics, word sense disambiguation (WSD) is an open problem of natural language processing, which governs the process of identifying which… …   Wikipedia

• Bosonic string theory — is the original version of string theory, developed in the late 1960s. Although it has many attractive features, it has a pair of features that render it unattractive as a physical model. Firstly it predicts only the existence of bosons whereas… …   Wikipedia