Difference between revisions of "Dynamic Clustering Attribute"
Jump to navigation
Jump to search
m (fix link) |
m (fix) |
||
| Line 3: | Line 3: | ||
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 [[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. | + | [[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. |
== Common attributes == | == Common attributes == | ||
Revision as of 04:08, 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
