Difference between revisions of "Dynamic Clustering Attribute"

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Similar to [[Segmentation]] in [[Visit Count Stats]], '''Dynamic Clustering Attribute''' (a.k.a. attribute) is a variable representing an aspect of a particular situation. When several attributes are combined, it is then called a [[Data Point]].  
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Similar to [[Segmentation]] in [[Visit Count Stats]], '''Dynamic Clustering Attribute''' (a.k.a. attribute) is a variable representing an aspect of a particular situation. When several attributes are combined, it is then called a [[Data Point]].
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[[Dynamic Clustering]] is all about finding the [[wikipedia:k-nearest neighbours|k-nearest neighbours]] of the recorded data points and then calculating the [[wikipedia:kernel density estimation|kernel density]] of the matched points. Thus attributes play a crucial role in dynamic clustering.
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== Common attributes ==
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Some common attributes most [[Dynamic Clustering|DC]] guns use are
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* [[Distance]]/[[Bullet Flight Time]]
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* [[Lateral Velocity]]
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* [[Advancing Velocity]]
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* [[Wall Distance]]
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* [[Time Since Attributes]]
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* [[Average Velocity Attributes]]
  
 
== See also ==
 
== See also ==
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* [[Dynamic Clustering Tutorial]]
 
* [[Dynamic Clustering Tutorial]]
 
* [[Segmentation]]
 
* [[Segmentation]]
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[[Category:Terminology]]

Latest revision as of 06:33, 15 September 2017

This article is a stub. You can help RoboWiki by expanding it.

Similar to Segmentation in Visit Count Stats, Dynamic Clustering Attribute (a.k.a. attribute) is a variable representing an aspect of a particular situation. When several attributes are combined, it is then called a Data Point.

Dynamic Clustering is all about finding the k-nearest neighbours of the recorded data points and then calculating the kernel density of the matched points. Thus attributes play a crucial role in dynamic clustering.

Common attributes

Some common attributes most DC guns use are

See also