|Code Listing by Xiangliang Zhang|
The Affinity Propagation (AP) clustering algorithm
proposed by Frey and Dueck (2007) provides an understandable,
nearly optimal summary of a data set. However,
it suffers two major shortcomings: i) the number of clusters is
vague with the user-defined parameter called self-confidence,
and ii) the quadratic computational complexity. When aiming
at a given number of clusters due to prior knowledge, AP
has to be...
Algorithm StrAP, is able to adaptively cluster data streams with Affinity Propagation. Several steps are made to build
StrAP. The first one (Weighted AP) extends AP to weighted items with
no loss of generality. The second one...
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