A two-stage ensemble clustering algorithm for functional data that uses Gaussian-process random projections for initial grouping followed by covariance-based refinement and cost-based selection.
Parameter clustering in bayesian functional principal component analysis of neuroscientific data.Statistics in Medicine, 40(1):167–184
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Two-stage Ensemble Clustering of Functional Data Using Random Projections
A two-stage ensemble clustering algorithm for functional data that uses Gaussian-process random projections for initial grouping followed by covariance-based refinement and cost-based selection.