Robust clustering based on trimming

Cites Work

Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Exploring the number of groups in robust model-based clustering
Robust fitting of mixtures using the trimmed likelihood estimator
Constrained parsimonious model-based clustering
Snipping for robust \(k\)-means clustering under component-wise contamination
A proposal for robust curve clustering
A fast algorithm for robust constrained clustering
On the breakdown behavior of the TCLUST clustering procedure
Robust constrained fuzzy clustering
The influence function of the TCLUST robust clustering procedure
Root selection in normal mixture models
Robust double clustering: a method based on alternating concentration steps
Breakdown points of affine equivariant estimators of multivariate location and covariance matrices
A general trimming approach to robust cluster analysis
Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator
Propagation of outliers in multivariate data
The importance of the scales in heterogeneous robust clustering
Impartial trimmed \(k\)-means for functional data
Exploratory tools for clustering multivariate data
Large-sample results for optimization-based clustering methods
Trimmed \(k\)-means: An attempt to robustify quantizers
Trimmed best \(k\)-nets: A robustified version of an \(L_{\infty}\)-based clustering method
Clusters, outliers, and regression: Fixed point clusters
Exploring multivariate data with the forward search.
Robust mixture regression using the \(t\)-distribution
The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers
A reweighting approach to robust clustering
A robust method for cluster analysis
Breakdown points for maximum likelihood estimators of location-scale mixtures
A constrained robust proposal for mixture modeling avoiding spurious solutions
Semiautomatic robust regression clustering of international trade data
Model-based clustering with determinant-and-shape constraint
Robust and sparse \(k\)-means clustering for high-dimensional data
Robust clustering tools based on optimal transportation
Robust clustering for functional data based on trimming and constraints
Assessing trimming methodologies for clustering linear regression data
Probabilistic clustering via Pareto solutions and significance tests
Eigenvalues and constraints in mixture modeling: geometric and computational issues
Trimming algorithms for clustering contaminated grouped data and their robustness
A review of robust clustering methods
Robust clusterwise linear regression through trimming
A classification EM algorithm for clustering and two stochastic versions
Robust model-based clustering with mild and gross outliers
Parsimonious mixtures of multivariate contaminated normal distributions
Finding the Number of Normal Groups in Model-Based Clustering via Constrained Likelihoods
Robust Linear Clustering
Robust Estimation in the Normal Mixture Model Based on Robust Clustering
How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
Model-Based Gaussian and Non-Gaussian Clustering
Identification of Outliers in Multivariate Data
Finite mixture models
Robustness Properties of k Means and Trimmed k Means
Robust Statistics
Wild adaptive trimming for robust estimation and cluster analysis
Least squares quantization in PCM
Cluster detection and clustering with random start forward searches
Robust inference for parsimonious model-based clustering
Robust principal component analysis based on trimming around affine subspaces
A Cluster-Based Outlier Detection Scheme for Multivariate Data
Model-Based Clustering, Classification, and Density Estimation Using mclust in R
Cluster analysis with cellwise trimming and applications for the robust clustering of curves
Graphical and Computational Tools to Guide Parameter Choice for the Cluster Weighted Robust Model
Co-clustering contaminated data: a robust model-based approach
Soft clustering
How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification

This page was built for publication: Robust clustering based on trimming

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6642753)