Mathematical Problems in Engineering / 2018 / Article / Alg 1

Research Article

A -Deviation Density Based Clustering Algorithm

Algorithm 1

The implementation of kDDBSCAN.
Input: DataSt , , the minimal number of the mutual neighborhood , the deviation factor
Procedure kDDBSCAN(D, k, n, )
= 0 / is cluster id /
For each point in do
If id = UNCLASSIFIED Then
Calculate the -deviation density Devk / see Definition 4  /
If Then
ExpandCluster
= + 1
Else
id = OUTLINE
End If
End If
End For
End Procedure