kernel density

collocation in English

meaningsofkernelanddensity

These words are often used together. Click on the links below to explore the meanings. Or,see other collocations withkernelordensity.
kernel
noun[C]
uk
/ˈkɜː.nəl/us
/ˈkɝː.nəl/
the part of a nut that is inside the shell and can ...
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density
noun[C or U]
uk
/ˈden.sɪ.ti/us
/ˈden.sə.t̬i/
the number of people or things in a place when compared with the size of ...
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(Definition ofkernelanddensityfrom theCambridge English Dictionary© Cambridge University Press)

Examplesofkernel density

These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
In order to allow for random fluctuations in the numbers of positive isolates, weekly data series were smoothed usingkerneldensitysmoothing.
From theCambridge English Corpus
As the plots suggest, the stable model provides a better fit to thekerneldensity.
From theCambridge English Corpus
Recall that for a bandwidth of 0.5, thekerneldensityestimates reveal two peaks.
From theCambridge English Corpus
Data subject tokerneldensitysmoothing.
From theCambridge English Corpus
As in local linear regression, the idea is to localize a linear parameterization in the neighborhood of a state y through the use of akerneldensity.
From theCambridge English Corpus
The first requirement ensures that the method ofkerneldensityestimation results in a probability density function.
From
Wikipedia
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Kerneldensityestimators were first introduced in the scientific literature for univariate data in the 1950s and 1960s and subsequently have been widely adopted.
From
Wikipedia
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Kerneldensityestimates are closely related to histograms, but can be endowed with properties such as smoothness or continuity by using a suitable kernel.
From
Wikipedia
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The result of summing these kernels is given on the right figure, which is akerneldensityestimate.
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Wikipedia
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Inkerneldensityestimation, the contribution of each data point is smoothed out from a single point into a region of space surrounding it.
From
Wikipedia
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Kerneldensityestimation is a fundamental data smoothing problem where inferences about the population are made, based on a finite data sample.
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Wikipedia
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The algorithm for computing a dot plot is closely related tokerneldensityestimation.
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Wikipedia
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Example problems that fit into this form include all-nearest-neighbors in manifold learning,kerneldensityestimation, and kernel machines.
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Wikipedia
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An alternative to the histogram iskerneldensityestimation, which uses a kernel to smooth samples.
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Wikipedia
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An alternate approach iskerneldensityestimation, which essentially blurs point samples to produce a continuous estimate of the probability density function which can provide an estimate of the mode.
From
Wikipedia
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Therefore, after conducting thekerneldensityanalysis, it can be determine if grid cells with high crime intensity values are clustered together and thus forming a crime hotspot.
From
Wikipedia
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Choice of number and width of bins techniques can heavily influence the appearance of a histogram, and choice of bandwidth can heavily influence the appearance of akerneldensityestimate.
From
Wikipedia
This example is from Wikipedia and may be reused under a CC BY-SA license.
To further investigate the factors determining participation in the program, we first estimate kernel densities to trace out the income distributions of participating and non-participating households.
From theCambridge English Corpus
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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