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Что (кто) такое multidimensional diffusion - определение
A DATA ANALYSIS PROCESS THAT GROUPS DATA INTO TWO CATEGORIES: DATA DIMENSIONS AND MEASUREMENTS
Multidimensional Analysis; Multi-dimensional analytical; Multidimensional data
Найдено результатов: 239
Diffusion bonding
![Animation of sheet forming process using diffusion welding (see also [[hydroforming]]).](https://commons.wikimedia.org/wiki/Special:FilePath/Output 9GbY2F.gif?width=200 "Animation of sheet forming process using diffusion welding (see also [[hydroforming]]).")
Diffusion welding; User:IdRatherBeLearning/sandbox
Diffusion bonding or diffusion welding is a solid-state welding technique used in metalworking, capable of joining similar and dissimilar metals. It operates on the principle of solid-state diffusion, wherein the atoms of two solid, metallic surfaces intersperse themselves over time.
Diffusion map
DIMENSIONAL REDUCTION ALGORITHM
Diffusion maps
Diffusion maps is a dimensionality reduction or feature extraction algorithm introduced by Coifman and Lafon which computes a family of embeddings of a data set into Euclidean space (often low-dimensional) whose coordinates can be computed from the eigenvectors and eigenvalues of a diffusion operator on the data. The Euclidean distance between points in the embedded space is equal to the "diffusion distance" between probability distributions centered at those points.
Reaction–diffusion system
TYPE OF MATHEMATICAL MODEL
Reaction diffusion; Reaction-diffusion equation; Reaction diffusion equation; Reaction diffusion system; Reaction-diffusion system; Reaction-diffusion model; Reaction diffusion model; Reaction-diffusion; Reaction–diffusion; Turing instability; Reaction–diffusion equations; Reaction–diffusion equation; Reaction-diffusion equations; Newell-Whitehead-Segel equation; Reaction-diffusion systems; Reaction–diffusion systems; Reaction Diffusion; Kolmogorov-Petrovsky-Piskounov equation; Reaction-diffusion mechanism; Gray–Scott model; Gray-Scott model; Zeldovich equation; Barkley model; Diffusion-driven instability; Newell–Whitehead–Segel equation
Reaction–diffusion systems are mathematical models which correspond to several physical phenomena. The most common is the change in space and time of the concentration of one or more chemical substances: local chemical reactions in which the substances are transformed into each other, and diffusion which causes the substances to spread out over a surface in space.
Anisotropic diffusion
IMAGE NOISE REDUCING TECHNIQUE
Anisotropic Diffusion; Anisotropic smoothing; Difusión Anisotrópica; Applications of anisotropic diffusion; Diffusion-based image processing
In image processing and computer vision, anisotropic diffusion, also called Perona–Malik diffusion, is a technique aiming at reducing image noise without removing significant parts of the image content, typically edges, lines or other details that are important for the interpretation of the image. Anisotropic diffusion resembles the process that creates a scale space, where an image generates a parameterized family of successively more and more blurred images based on a diffusion process.
Diffusion-limited aggregation
Diffusion Limited Aggregation; Diffusion limited aggregation; Diffusion-limited growth
Diffusion-limited aggregation (DLA) is the process whereby particles undergoing a random walk due to Brownian motion cluster together to form aggregates of such particles. This theory, proposed by T.
Multidimensional scaling
SET OF RELATED ORDINATION TECHNIQUES USED IN INFORMATION VISUALIZATION
Multidimensional scaling in marketing; Multi dimensional scaling (in marketing); Multi dimensional scaling; Multidimensional scaling (in marketing); Classical multidimensional scaling; Multidimensional Scaling; Principal coordinates analysis; Principal coordinate analysis; Principal co-ordinates analysis; Principal co-ordinate analysis; Smallest space analysis; Smallest Space Analysis; Multi-Dimensional Scaling; Principle coordinates analysis; Principle coordinate analysis; User:Jigang.sun/Enter your new article name here; Smallest-space analysis; Multi-dimensional scaling; CMDS; MDS plot; Non-metric multidimensional scaling; Metric multidimensional scaling
Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a dataset. MDS is used to translate "information about the pairwise 'distances' among a set of n objects or individuals" into a configuration of n points mapped into an abstract Cartesian space.
CMDS
SET OF RELATED ORDINATION TECHNIQUES USED IN INFORMATION VISUALIZATION
Multidimensional scaling in marketing; Multi dimensional scaling (in marketing); Multi dimensional scaling; Multidimensional scaling (in marketing); Classical multidimensional scaling; Multidimensional Scaling; Principal coordinates analysis; Principal coordinate analysis; Principal co-ordinates analysis; Principal co-ordinate analysis; Smallest space analysis; Smallest Space Analysis; Multi-Dimensional Scaling; Principle coordinates analysis; Principle coordinate analysis; User:Jigang.sun/Enter your new article name here; Smallest-space analysis; Multi-dimensional scaling; CMDS; MDS plot; Non-metric multidimensional scaling; Metric multidimensional scaling
Cambridge Model Distributed System (Reference: OS)
Diffusion MRI
![DWI showing necrosis (shown as brighter) in a [[cerebral infarction]]](https://commons.wikimedia.org/wiki/Special:FilePath/Cerebral infarction after 4 hours on DWI MRI.jpg?width=200 "DWI showing necrosis (shown as brighter) in a [[cerebral infarction]]")
![DWI showing restricted diffusion in the medial dorsal thalami consistent with [[Wernicke encephalopathy]]](https://commons.wikimedia.org/wiki/Special:FilePath/MRI DWI sequence showing restricted diffusion in the mesial dorsal thalami.jpg?width=200 "DWI showing restricted diffusion in the medial dorsal thalami consistent with [[Wernicke encephalopathy]]")
![DWI showing cortical ribbon-like high signal consistent with diffusion restriction in a patient with known [[MELAS syndrome]]](https://commons.wikimedia.org/wiki/Special:FilePath/Melas dwi ax.jpg?width=200 "DWI showing cortical ribbon-like high signal consistent with diffusion restriction in a patient with known [[MELAS syndrome]]")
MEDICAL IMAGING TECHNIQUE THAT USES WATER DIFFUSION IN TISSUE AS A SOURCE OF CONTRAST
Diffusion tensor imaging; Diffusion Tensor Imaging; Diffuson Tensor Imaging; Diffusion-weighted imaging; Diffusion imaging; DTI measurement; Diffusion-weighted magnetic resonance imaging; Diffusion-weighted MRI; Diffusion tensor; Diffusion tensor magnetic resonance imaging; DT-MRI; Apparent diffusion coefficient; Bloch–Torrey equation; Tensors (image analysis); Bloch-Torrey equation; Diffusion tensor mri; DW imaging; DW MRI; DT imaging; DT MRI; DW-MRI; MRI DW; Diffusion-tensor imaging; DWI MRI; Diffusion weighted imaging; Diffusion weighted MRI; Diffusion magnetic resonance imaging
Diffusion-weighted magnetic resonance imaging (DWI or DW-MRI) is the use of specific MRI sequences as well as software that generates images from the resulting data that uses the diffusion of water molecules to generate contrast in MR images. It allows the mapping of the diffusion process of molecules, mainly water, in biological tissues, in vivo and non-invasively.
Diffusion Monte Carlo
QUANTUM MONTE CARLO METHOD THAT USES A GREEN'S FUNCTION TO SOLVE THE SCHRÖDINGER EQUATION
Diffusion quantum Monte Carlo
Diffusion Monte Carlo (DMC) or diffusion quantum Monte Carlo is a quantum Monte Carlo method that uses a Green's function to solve the Schrödinger equation. DMC is potentially numerically exact, meaning that it can find the exact ground state energy within a given error for any quantum system.
Diffusion damping
![The power spectrum of the cosmic microwave background radiation temperature anisotropy in terms of the angular scale (or [[multipole moment]]). Diffusion damping can be easily seen in the suppression of power peaks when ''l'' ≳ 1000.<ref name=bonometto227228 />](https://commons.wikimedia.org/wiki/Special:FilePath/WMAP TT power spectrum.png?width=200 "The power spectrum of the cosmic microwave background radiation temperature anisotropy in terms of the angular scale (or [[multipole moment]]). Diffusion damping can be easily seen in the suppression of power peaks when ''l'' ≳ 1000.<ref name=bonometto227228 />")
PHYSICAL PROCESS
Silk dampening; Silk Damping; Silk damping; Photon diffusion damping
In modern cosmological theory, diffusion damping, also called photon diffusion damping, is a physical process which reduced density inequalities (anisotropies) in the early universe, making the universe itself and the cosmic microwave background radiation (CMB) more uniform. Around 300,000 years after the Big Bang, during the epoch of recombination, diffusing photons travelled from hot regions of space to cold ones, equalising the temperatures of these regions.
Википедия
Multidimensional analysis
In statistics, econometrics and related fields, multidimensional analysis (MDA) is a data analysis process that groups data into two categories: data dimensions and measurements. For example, a data set consisting of the number of wins for a single football team at each of several years is a single-dimensional (in this case, longitudinal) data set. A data set consisting of the number of wins for several football teams in a single year is also a single-dimensional (in this case, cross-sectional) data set. A data set consisting of the number of wins for several football teams over several years is a two-dimensional data set.
