A self-organizing clustering algorithm for functional data

DOI10.1080/03610918.2018.1494280OpenAlexW2901538752MaRDI QIDQ5088041

Wen-Liang Hung, Jen-Hao Chen, Yen-Chang Chang

Publication date: 4 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1494280

zbMATH Keywords

clusteringfunctional data\(k\)-meansself-organizing algorithm

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• fda (R)

Cites Work

• Model-based clustering of time series in group-specific functional subspaces
• Functional cluster analysis via orthonormalized Gaussian basis expansions and its application
• A proposal for robust curve clustering
• Regression models for functional data by reproducing kernel Hilbert spaces methods
• On the weak convergence and central limit theorem of blurring and nonblurring processes with application to robust location estimation
• Identifying cluster number for subspace projected functional data clustering
• Curves discrimination: a nonparametric functional approach
• The self-organizing map
• Model-based clustering for multivariate functional data
• Clustering functional data
• Crisp and fuzzy k-means clustering algorithms for multivariate functional data
• Functional data analysis.
• A Comparison of Hierarchical Methods for Clustering Functional Data
• Unsupervised Curve Clustering using B‐Splines
• Clustering for Sparsely Sampled Functional Data
• A robust automatic clustering algorithm for probability density functions with application to categorizing color images
• Functional Clustering and Identifying Substructures of Longitudinal Data
• Correlation-Based Functional Clustering via Subspace Projection
• Self-organizing maps.

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