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Clustering Functional Data into Groups by Using Projections
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/0-387-36620-2openalex-snapshot
Nonparametric functional data analysis : theory and practice
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Computational Geometry-Methods, Algorithms and Applications
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Wavelets, Approximation, and Statistical Applications
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A Comparison of Heuristic Procedures for Minimum Within-Cluster Sums of Squares Partitioning
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What are the true clusters?
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Two data sets of near infrared spectra
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Introduction to Information Retrieval
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Projection-based curve clustering
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Clustering Curves on a Reduced Subspace
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Componentwise classification and clustering of functional data
inferredcites →https://doi.org/10.1109/tit.1982.1056489openalex-snapshot
Least squares quantization in PCM
inferredcites →https://doi.org/10.1111/1467-9469.00350openalex-snapshot
Unsupervised Curve Clustering using B‐Splines
inferredcites →https://doi.org/10.1111/j.1467-9868.2007.00605.xopenalex-snapshot
Functional Clustering and Identifying Substructures of Longitudinal Data
inferredcites →https://doi.org/10.1111/j.1467-9868.2011.01003.xopenalex-snapshot
Achieving near Perfect Classification for Functional Data
inferredcites →https://doi.org/10.1137/s0036144599352836openalex-snapshot
Centroidal Voronoi Tessellations: Applications and Algorithms
inferredcites →https://doi.org/10.1142/s0219691313500033openalex-snapshot
CLUSTERING FUNCTIONAL DATA USING WAVELETS
inferredcites →https://doi.org/10.1198/016214507000000860openalex-snapshot
Unbalanced Haar Technique for Nonparametric Function Estimation
inferredcites →https://doi.org/10.1214/09-aos741openalex-snapshot
Defining probability density for a distribution of random functions
inferredcites →https://doi.org/10.1214/aos/1176345339openalex-snapshot
Strong Consistency of $K$-Means Clustering
inferredcites →https://doi.org/10.32614/cran.package.fdaopenalex-snapshot
fda: Functional Data Analysis
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Functional clustering methods for resistance spot welding process data in the automotive industry
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Spatial Scan Statistics for Functional Data
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Spatial Scan Statistics for Functional Data
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Statistical Process Monitoring Methods Based on Functional Data Analysis
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Cluster Validation Based on Fisher’s Linear Discriminant Analysis
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A new semi-supervised clustering algorithm for probability density functions and applications
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Clustering of eclipsing binary light curves through functional principal component analysis
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Penalized model-based clustering of complex functional data
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Clustering functional data via variational inference
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Addressing class imbalance in functional data clustering
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Clustering functional data using a predictive likelihood
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Clusterwise functional linear regression models
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Clustering multivariate functional data using unsupervised binary trees
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On functional data analysis and related topics
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Sparse functional varying-coefficient mixture regression
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A new possibilistic-based clustering method for probability density functions and its application to detecting abnormal elements
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Time-synchronized sensor clustering via rare events: A case study in semiconductor manufacturing processes
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Functional data clustering via information maximization
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TS- K -means: an improved test-based functional data clustering approach using shrinkage estimation
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Functional Time Series Prediction Under Partial Observation of the Future Curve
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Projection-based classification for functional data
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Covariance Function Estimation for High-Dimensional Functional Time Series with Dual Factor Structures
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Distance-based Clustering of Functional Data with Derivative Principal Component Analysis
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Investigating spatial scan statistics for multivariate functional data
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Dynamic and Static Enhanced BIRCH for Functional Data Clustering
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Functional Clustering Based on Weighted Partitioning around Medoid Algorithm with Estimation of Number of Clusters
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Near-perfect Clustering Based on Recursive Binary Splitting Using Max-MMD
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Cluster non‐Gaussian functional data
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Review of Clustering Methods for Functional Data
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Conditional functional clustering for longitudinal data with heterogeneous nonlinear patterns
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Detection and estimation of structural breaks in high-dimensional functional time series
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A signature-based functional spatial autoregressive model
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High-dimensional functional time series: A selective review
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Functional regression clustering with multiple functional gene expressions
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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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Application of FCMAlgorithm Combined with Artcial Neural Network in TBM Operation Data
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Unsupervised Functional Data Clustering Based on Adaptive Weights
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Functional L-Optimality Subsampling for Massive Data
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Nonlinear dimension reduction for functional data with application to clustering
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Contribution to spatial statistics for high-dimensional and survival data
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