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]].
 
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 [[k-nearest neighbours]] of the data points and then calculating the [[kernel density estimation|kernel density]] of the matched points. Thus attributes play a crucial role in dynamic clustering.  
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[[Dynamic Clustering]] is all about finding [[wikipedia:k-nearest neighbours|k-nearest neighbours]] of the 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.  
  
 
== Common attributes ==
 
== Common attributes ==

Revision as of 04:07, 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 k-nearest neighbours of the 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