Functional data clustering: a survey

By J. Jacques, Cristian Preda. Advances in Data Analysis and Classification, 2013

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Classification of non‐parametric regression functions in longitudinal data models (2017, methodology): “…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 survey.”
New Modeling Approaches Based on Varimax Rotation of Functional Principal Components (2020, result): “In fact, these conclusions agree with the results obtained after applying functional data clustering [27].”
Nonparametric modelling for functional data: selected survey and tracks for future (2018, background): “[11], as well as those selected bibliographical discussions byGeenens [12], Cuevas [13], Jacques andPreda [14], Shang [15], Horváth and Rice [16], Müller [17], Goia and Vieu [18], and Nagy [19], highlight the wide scope of recent advances in FDA.”