funOCLUST: Clustering Functional Data with Outliers

An extension of the OCLUST algorithm to the functional setting is proposed to address these issue s. The approach leverages the OCLUST framework, creating a robust method to cluster cu rves and trim outliers. The methodology is evaluated on both simulated and real-wor ld functional datasets, demonstrating strong performance in clustering and outlie r identification.