Identifying connected components in Gaussian finite mixture models for clustering
Clusters are identified as connected components from high density regions. Gaussian finite mixture models are used for density estimation. Identified clusters are not constrained to have a Gaussian shape. Clusters need not be obtained by combining mixture components. A dimension reduction step is used in cases of higher data dimensionality.
connected components high density regions finite mixture of gaussian distributions cluster analysis cluster cores