Cluster Identification Using Projections

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Invariant co‐ordinate selection (2009, methodology): “Projection directions maximizing and minimizing kurtosis were shown to be useful for robust multivariate estimation in Pena and Prieto (2001b), who also proved the optimality properties of these directions for clustering (Pena and Prieto, 2001a).”
Selection of Variables for Cluster Analysis and Classification Rules (2006, methodology): “(Kaufman and Rousseeuw 1987), but not the case of hierarchical clustering (Hartigan 1975) or kurtosis-based clustering (Peña and Prieto 2001).”
Fourth Moments and Independent Component Analysis (2014, methodology): “The measure β has been used as an indicator of the bimodality, for example, in identifying clusters in the data set (Peña and Prieto, 2001) or as a general indicator for non-Gaussianity, for example, in testing for normality or in independent 372 component analysis (Hyvärinen, 1999).”