Flexible Bayesian Nonparametric Product Mixtures for Multi-scale Functional Clustering
用于多尺度函数聚类的灵活贝叶斯非参数乘积混合模型
There is a rich literature on clustering functional data with applications to time-series modeling, trajectory data, and even spatio-temporal applications. However, existing methods routinely perform global clustering that enforces identical atom values within the same cluster. Such grouping may be inadequate for high-dimensional functions, where the clustering patterns may change between the more dominant high-level features and the finer resolution local features. While…