Difference between revisions of "Dynamic Clustering Attribute"
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* [[Dynamic Clustering Tutorial]] | * [[Dynamic Clustering Tutorial]] | ||
* [[Segmentation]] | * [[Segmentation]] | ||
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Latest revision as of 05:33, 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
- Distance/Bullet Flight Time
- Lateral Velocity
- Advancing Velocity
- Wall Distance
- Time Since Attributes
- Average Velocity Attributes