Pages that link to "Item:Q1359414"

The following pages link to Trimmed \(k\)-means: An attempt to robustify quantizers (Q1359414):

Displaying 50 items.

• A new family of multivariate heavy-tailed distributions with variable marginal amounts of tailweight: application to robust clustering (Q98131) (← links)
• Snipping for robust \(k\)-means clustering under component-wise contamination (Q260978) (← links)
• A fast algorithm for robust constrained clustering (Q333708) (← links)
• On the breakdown behavior of the TCLUST clustering procedure (Q364182) (← links)
• Strong consistency of \(k\)-parameters clustering (Q391580) (← links)
• Central limit theorem and influence function for the MCD estimators at general multivariate distributions (Q418235) (← links)
• Similarity of samples and trimming (Q418241) (← links)
• A robust EM clustering algorithm for Gaussian mixture models (Q437776) (← links)
• Generalized weighted likelihood density estimators with application to finite mixture of exponential family distributions (Q452610) (← links)
• Robust estimation of mixtures of regressions with random covariates, via trimming and constraints (Q518243) (← links)
• Fast and robust estimation of the multivariate errors in variables model (Q619147) (← links)
• The influence function of the TCLUST robust clustering procedure (Q693038) (← links)
• Phase and amplitude-based clustering for functional data (Q693242) (← links)
• On the asymptotics of trimmed best \(k\)-nets (Q700155) (← links)
• Maximum likelihood estimation of heterogeneous mixtures of Gaussian and uniform distributions (Q710810) (← links)
• Robust double clustering: a method based on alternating concentration steps (Q734384) (← links)
• Asymptotics of the empirical cross-over function (Q744001) (← links)
• Robust Bregman clustering (Q820825) (← links)
• Mixture of linear experts model for censored data: a novel approach with scale-mixture of normal distributions (Q830079) (← links)
• High-breakdown robust multivariate methods (Q900488) (← links)
• Dissolution point and isolation robustness: Robustness criteria for general cluster analysis methods (Q928853) (← links)
• A general trimming approach to robust cluster analysis (Q930658) (← links)
• Using combinatorial optimization in model-based trimmed clustering with cardinality constraints (Q962299) (← links)
• Approximation of distributions by bounded sets (Q996788) (← links)
• A toolbox for \(K\)-centroids cluster analysis (Q1010387) (← links)
• The importance of the scales in heterogeneous robust clustering (Q1020101) (← links)
• Impartial trimmed \(k\)-means for functional data (Q1020146) (← links)
• Cluster-wise assessment of cluster stability (Q1020813) (← links)
• Asymptotics for trimmed \(k\)-means and associated tolerance zones. (Q1298870) (← links)
• On the geometric behaviour of multidimensional location measures (Q1299391) (← links)
• Trimmed best \(k\)-nets: A robustified version of an \(L_{\infty}\)-based clustering method (Q1382213) (← links)
• Clusters, outliers, and regression: Fixed point clusters (Q1400150) (← links)
• A central limit theorem for multivariate generalized trimmed \(k\)-means (Q1568311) (← links)
• A reweighting approach to robust clustering (Q1702028) (← links)
• Multivariate and functional robust fusion methods for structured big data (Q1733276) (← links)
• Robust, fuzzy, and parsimonious clustering, based on mixtures of factor analyzers (Q1748531) (← links)
• A robust method for cluster analysis (Q1781164) (← links)
• Validating visual clusters in large datasets: fixed point clusters of spectral features. (Q1852887) (← links)
• On minimizing sequences for \(k\)-centres (Q1867259) (← links)
• Trimmed means for functional data (Q1872848) (← links)
• Asymptotics of a clustering criterion for smooth distributions (Q1951148) (← links)
• M-estimators and trimmed means: from Hilbert-valued to fuzzy set-valued data (Q2036155) (← links)
• K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means (Q2072412) (← links)
• Statistical analysis of a hierarchical clustering algorithm with outliers (Q2079616) (← links)
• Outlier detection in multivariate functional data through a contaminated mixture model (Q2157511) (← links)
• Clustering genomic words in human DNA using peaks and trends of distributions (Q2183652) (← links)
• A robust approach to model-based classification based on trimming and constraints. Semi-supervised learning in presence of outliers and label noise (Q2201323) (← links)
• A \(k\)-points-based distance for robust geometric inference (Q2203630) (← links)
• Noise-free latent block model for high dimensional data (Q2218334) (← links)
• An impartial trimming approach for joint dimension and sample reduction (Q2220706) (← links)