A1145
Title: Robust fast k-medoids for large mixed-type data
Authors: Aurea Grane Chavez - Universidad Carlos III de Madrid (Spain) [presenting]
Fabio Scielzo - Universidad Carlos III de Madrid (Spain)
Abstract: New robust clustering algorithms for large datasets of mixed-type data are proposed. Their performance is analyzed through an extensive simulation study and compared to a wide range of existing clustering alternatives in terms of both predictive power and computational efficiency. MDS is used to visualize clustering results.
