Difference between revisions of "Dynamic Clustering Attribute"

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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

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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.

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