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  "Description": "Functional clustering aims to group curves exhibiting\nsimilar temporal behaviour and to obtain representative curves\nsummarising the typical dynamics within each cluster. A key\nchallenge in this setting is class imbalance, where some\nclusters contain substantially more curves than others, which\ncan adversely affect clustering performance. While class\nimbalance has been extensively studied in supervised\nclassification, it has received comparatively little attention\nin unsupervised clustering. This package implements functional\niterative hierarchical clustering ('funIHC'), an adaptation of\nthe iterative hierarchical clustering method originally\ndeveloped for multivariate data, to the functional data\nsetting. For further details, please see Higgins and Carey\n(2024) <doi:10.1007/s11634-024-00611-8>.",
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