Fractal Clustering Method(FC)
New point to be incrementally added to the existing clusters
Change in the fractal dimension of cluster1 = D1
Change in the fractal dimension of cluster 2 = D2
Change in the fractal dimension of cluster3 = D3
If D1 = Min (D1, D2 D3)
|Uses the correlation
fractal dimension as the similarity metric to cluster elements.
|Starting with a
set of initial clusters of a sample of the dataset.
|tries to cluster
points so that each point disturbs the least the fractal dimension of the
cause a large perturbation in all clusters are considered outliers.
|If the final
fractal dimension of a cluster increased more than a certain threshold:
cluster and submit it to one more FC step.
|Clusters are not
restricted to any shape - improves the quality of clusters.