Functional clustering and identifying substructures of longitudinal data

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Classification of non‐parametric regression functions in longitudinal data models (2017, methodology): “…for example Abraham et al. (2003) and Tarpey and Kinateder (2003) for procedures based on k-means clustering, James and Sugar (2003) and Chiou and Li (2007) for so-called model-based clustering approaches, Ray and Mallick (2006) for a Bayesian approach and Jacques and Preda (2014) for a recent…”
Hierarchical clustering of spatially correlated functional data (2012, methodology): “Other model-based approaches for clustering functional data are given in James and Sugar (2003), Lee (2004) and Chiou and Li (2007), respectively.”
Functional Data Analysis (2016, methodology): “The FPC subspace-projected k -centers functional clustering approach was considered in Chiou & Li (2007), using subspaces as cluster centers.”
Functional data clustering: a survey (2013, unknown): “Even more empirical and very sensitive, but also meaningful, Chiou and Li (2007) and Ieva et al. (2012) retain the number of clusters leading to a partition having the best physical interpretation.”
Model-based clustering for multivariate functional data (2013, methodology): “Recently, several new approaches considers the k-means algorithm applied to a B -spline ﬁtting (Abraham et al., 2003), to deﬁned principal points of curves (Tarpey and Kinateder, 2003) or to a truncation of the Karhunen-Loeve expansion (Chiou and Li, 2007).”