Detecting Features in Spatial Point Processes With Clutter via Model-Based Clustering.

Addresses the problem of detecting features in spatial point processes when there is substantial clutter. Information about the model-based clustering method; Explanation of the EM algorithm for mixture models; Description of the mclust-em, the proposed modification to the model-based clustering, to deal with the problem; Limitations of the proposed method; Ways of improving the results.