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Review of Clustering Methods for Functional Data
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Bayesian regression and classification using mixtures of Gaussian processes
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Clustering multiply imputed multivariate high‐dimensional longitudinal profiles
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Cluster analysis with regression of non‐Gaussian functional data on covariates
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Clustering compositional data trajectories: the case of particulate matter in the lower troposphere
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Bivariate functional data clustering: grouping streams based on a varying coefficient model of the stream water and air temperature relationship
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Whole‐volume clustering of time series data from zebrafish brain calcium images via mixture modeling
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Parameter clustering in Bayesian functional principal component analysis of neuroscientific data
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Multiresolution clustering of dependent functional data with application to climate reconstruction
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Model‐based clustering and classification of functional data
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Functional and Shape Data Analysis
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Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder
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Crisp and fuzzy k-means clustering algorithms for multivariate functional data
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Functional data clustering via hypothesis testing k-means
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Clustering multivariate functional data in group-specific functional subspaces
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A Proposal for Robust Curve Clustering
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Functional Cluster Analysis via Orthonormalized Gaussian Basis Expansions and Its Application
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Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation
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Dimension-Reduced Clustering of Functional Data via Subspace Separation
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Multiscale Clustering for Functional Data
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Clustering Brain Signals: a Robust Approach Using Functional Data Ranking
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A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data
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Spatiotemporal clustering: a review
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Overview of the Geometries of Shape Spaces and Diffeomorphism Groups
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Curve prediction and clustering with mixtures of Gaussian process functional regression models
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Kernel discriminant analysis and clustering with parsimonious Gaussian process models
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Spatial variability clustering for spatially dependent functional data
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Model-based clustering of time series in group-specific functional subspaces
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Clustering of functional data in a low-dimensional subspace
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Functional data clustering: a survey
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Robust clustering for functional data based on trimming and constraints
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Functional data clustering by projection into latent generalized hyperbolic subspaces
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Multivariate functional data modeling with time-varying clustering
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Inference on Covariance Operators via Concentration Inequalities: k-sample Tests, Classification, and Clustering via Rademacher Complexities
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Impartial trimmed k-means for functional data
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On the using of modal curves for radar waveforms classification
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Simultaneous curve registration and clustering for functional data
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-mean alignment for curve clustering
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Phase and amplitude-based clustering for functional data
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Model-based clustering for multivariate functional data
inferredcites →https://doi.org/10.1016/j.csda.2014.01.011openalex-snapshot
Mixtures of spatial spline regressions for clustering and classification
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Functional factorial K -means analysis
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A Bayesian method for simultaneous registration and clustering of functional observations
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Online EM for functional data
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Model-based curve registration via stochastic approximation EM algorithm
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FunCC: A new bi-clustering algorithm for functional data with misalignment
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Clustering multivariate functional data using unsupervised binary trees
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A new distance with derivative information for functional k-means clustering algorithm
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Time-series clustering – A decade review
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Bagging Voronoi classifiers for clustering spatial functional data
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Sparse clustering of functional data
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Pseudo-quantile functional data clustering
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A partial overview of the theory of statistics with functional data
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Exploratory analysis of functional data via clustering and optimal segmentation
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Funclust: A curves clustering method using functional random variables density approximation
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K-means algorithms for functional data
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Model-based co-clustering for functional data
inferredcites →https://doi.org/10.1016/j.patcog.2021.108428openalex-snapshot
Weighted clustering ensemble: A review
inferredcites →https://doi.org/10.1016/j.patrec.2020.04.024openalex-snapshot
On the importance of similarity characteristics of curve clustering and its applications
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Quantization based clustering: An iterative approach
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Optimally weighted L 2 distances for spatially dependent functional data
inferredcites →https://doi.org/10.1080/00949655.2022.2053855openalex-snapshot
Selection of the number of clusters in functional data analysis
inferredcites →https://doi.org/10.1080/01621459.2014.957286openalex-snapshot
Joint Modeling and Clustering Paired Generalized Longitudinal Trajectories With Application to Cocaine Abuse Treatment Data
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Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models
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A Comparison of Hierarchical Methods for Clustering Functional Data
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A self-organizing clustering algorithm for functional data
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Co-clustering for binary and functional data
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Functional Analysis of Variance, Discriminant Analysis, and Clustering in a Manifold of Elastic Curves
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Functional data clustering using principal curve methods
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Simultaneous Registration and Clustering for Multidimensional Functional Data
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Deep Learning for Spatio-Temporal Data Mining: A Survey
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Robust Functional Manifold Clustering
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Clustering Spatially Correlated Functional Data With Multiple Scalar Covariates
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Shape Analysis of Elastic Curves in Euclidean Spaces
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Shape Analysis of Functional Data With Elastic Partial Matching
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Unsupervised Curve Clustering using B‐Splines
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Optimally weighted L 2 distance for functional data
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Clustering Multivariate Functional Data with Phase Variation
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Cluster non‐Gaussian functional data
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Hierarchical clustering of spatially correlated functional data
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Functional Clustering by Bayesian Wavelet Methods
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Functional Clustering and Identifying Substructures of Longitudinal Data
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Modelling Sparse Generalized Longitudinal Observations with Latent Gaussian Processes
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Hybrid Dirichlet Mixture Models for Functional Data
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Multivariate Functional Clustering for the Morphological Analysis of Electrocardiograph Curves
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Multilevel Functional Clustering Analysis
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Wavelet‐Based Clustering for Mixed‐Effects Functional Models in High Dimension
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Clustering Functional Data into Groups by Using Projections
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Spatially Weighted Functional Clustering of River Network Data
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A Novel Regularized Approach for Functional Data Clustering: An Application to Milking Kinetics in Dairy Goats
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Online Clustering of Multivariate Time-series
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CLUSTERING FUNCTIONAL DATA USING WAVELETS
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Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data
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Design of Fast and Scalable Clustering Algorithm on Spark
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Dissimilarity for functional data clustering based on smoothing parameter commutation
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A generalization of functional clustering for discrete multivariate longitudinal data
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Clustering functional data using forward search based on functional spatial ranks with medical applications
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Linear Transformations and the k -Means Clustering Algorithm
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Clustering for Sparsely Sampled Functional Data
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Functional Data Analysis for Sparse Longitudinal Data
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Penalized Clustering of Large-Scale Functional Data With Multiple Covariates
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Correlation-Based Functional Clustering via Subspace Projection
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A Method for Projecting Functional Data Onto a Low-Dimensional Space
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Defining probability density for a distribution of random functions
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Clustering for multivariate continuous and discrete longitudinal data
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Bayesian Clustering of Functional Data Using Local Features
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The discriminative functional mixture model for a comparative analysis of bike sharing systems
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Functional Data Analysis of Amplitude and Phase Variation
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Clustering Chlorophyll-a satellite data using quantiles
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Nonparametric clustering of functional data using pseudo-densities
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Co-clustering of multivariate functional data for the analysis of air pollution in the South of France
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A study of longitudinal mobile health data through fuzzy clustering methods for functional data: The case of allergic rhinoconjunctivitis in childhood
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Dissimilarity for functional data clustering based on smoothing parameter commutation.
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A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing
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Covariance-based clustering in multivariate and functional data analysis
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The Dirichlet labeling process for clustering functional data
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Functional Data Analysis: An Introduction and Recent Developments
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Exploratory analysis on the performance of K-means, Kmeans.fd and K-median in clustering contaminated PM10 functional data
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Statfda: A User-Friendly Web Application to Analyse Curves Data from a Functional Perspective
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Distance-based Clustering of Functional Data with Derivative Principal Component Analysis
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Local Clustering for Functional Data
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