3 papers
stat.ME2026
Two-stage Ensemble Clustering of Functional Data Using Random Projections
Sourav Chakrabarty, Anirvan Chakraborty, Shyamal K. De
We propose a computationally simple framework for clustering functional data based on Gaussian-process-generated random projections. In this approach, each curve is first projected…
stat.ME2025
Consistent detection and estimation of multiple structural changes in functional data: unsupervised and supervised approaches
Sourav Chakrabarty, Anirvan Chakraborty, Shyamal K. De
We develop algorithms for detecting multiple changepoints in functional data when the number of changepoints is unknown (unsupervised case), when it is specified apriori (supervise…
stat.ME2025
Near-perfect Clustering Based on Recursive Binary Splitting Using Max-MMD
Sourav Chakrabarty, Anirvan Chakraborty, Shyamal K. De
We develop novel clustering algorithms for functional data when the number of clusters is unknown and also when it is prefixed. These algorithms are developed based on the Maxi…