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Smoothing

In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine-scale structures/rapid phenomena. In smoothing, the data points of a signal are modified so individual points higher than the adjacent points (presumably because of…

Linear smoothers, Algorithms & Compared to curve fitting

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Overview

Compared to curve fitting

Linear smoothers

Algorithms

Advanced semantic analysis

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Map overview Semantic statistics

Smoothing

Nodes25
Edges24
Triples12
Avg. degree1.92
Density0.08
Components1

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Smoothing

Top relations

related to Algorithms · 6
Smoothing → In, One, Some, The, This, Usually
related to Linear smoothers · 3
Smoothing → In, The, Thus
see also · 2
Smoothing → ConvolutionCurve, Graph
related to Compared to curve fitting · 1
Smoothing → Curve

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Important terminology

data noise function used convolution smooth algorithms curve fitting image processing points signal often called capture important adjacent smoother may

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Smoothingrelated to AlgorithmsOne0.60section
Smoothingrelated to AlgorithmsIn0.60section
Smoothingrelated to AlgorithmsThe0.60section
Smoothingrelated to AlgorithmsThis0.60section
Smoothingrelated to AlgorithmsUsually0.60section
Smoothingrelated to AlgorithmsSome0.60section
Smoothingrelated to Compared to curve fittingCurve0.60section
Smoothingrelated to Linear smoothersIn0.60section
Smoothingrelated to Linear smoothersThe0.60section
Smoothingrelated to Linear smoothersThus0.60section
Smoothingsee alsoConvolutionCurve0.60section
Smoothingsee alsoGraph0.60section

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    Min side: 3
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