Dynamic Clustering Attribute

From RoboWiki
Jump to: navigation, search
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

Personal tools
This is a cached copy of the requested page, and may not be up to date.

Sorry! This site is experiencing technical difficulties.

Try waiting a few minutes and reloading.

(Can't contact the database server: Can't connect to local MySQL server through socket '/var/run/mysqld/mysqld.sock' (2) (localhost))


You can try searching via Google in the meantime.
Note that their indexes of our content may be out of date.