Publication | Open Access
An automatic approach to exclude interlopers from asteroid families
35
Citations
54
References
2017
Year
Cluster ComputingEngineeringFamily MembersSemantic WebLink PredictionText MiningAsteroid FamilyInformation RetrievalData ScienceData MiningAsteroidData IntegrationAsteroid FamiliesComputational GeometryHierarchical ClassificationMeteoriticsDocument ClusteringAbstract Asteroid FamiliesKnowledge DiscoveryComputer ScienceStructure DiscoveryStructure Mining
Abstract Asteroid families are a valuable source of information to many asteroid-related researches, assuming a reliable list of their members could be obtained. However, as the number of known asteroids increases fast it becomes more and more difficult to obtain a robust list of members of an asteroid family. Here, we are proposing a new approach to deal with the problem, based on the well-known hierarchical clustering method. An additional step in the whole procedure is introduced in order to reduce a so-called chaining effect. The main idea is to prevent chaining through an already identified interloper. We show that in this way a number of potential interlopers among family members is significantly reduced. Moreover, we developed an automatic online-based portal to apply this procedure, i.e. to generate a list of family members as well as a list of potential interlopers. The Asteroid Families Portal is freely available to all interested researchers.
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