An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture‐based clustering
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Publication:6051670
DOI10.1111/anzs.12338zbMath1521.62100arXiv2009.00921OpenAlexW3197672431MaRDI QIDQ6051670
Christian Hennig, Pietro Coretto
Publication date: 20 October 2023
Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2009.00921
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bootstrap, jackknife and other resampling methods (62F40)
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Cites Work
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- On mixtures of skew normal and skew \(t\)-distributions
- Methods for merging Gaussian mixture components
- Maximum likelihood estimation of heterogeneous mixtures of Gaussian and uniform distributions
- Cluster-wise assessment of cluster stability
- The dip test of unimodality
- On bootstrap confidence intervals in nonparametric regression
- Assessing model mimicry using the parametric bootstrap.
- Posterior predictive \(p\)-values
- Local extremes, runs, strings and multiresolution. (With discussion)
- Breakdown points for maximum likelihood estimators of location-scale mixtures
- Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes
- Comparing clusterings -- an information based distance
- Eigenvalues and constraints in mixture modeling: geometric and computational issues
- Bayesian Repulsive Gaussian Mixture Model
- Finding the Number of Normal Groups in Model-Based Clustering via Constrained Likelihoods
- Order selection in finite mixture models: complete or observed likelihood information criteria?
- Nearest-Neighbor Clutter Removal for Estimating Features in Spatial Point Processes
- Model-Based Gaussian and Non-Gaussian Clustering
- Inference on the Order of a Normal Mixture
- Data features1
- Approximation by finite mixtures of continuous density functions that vanish at infinity
- Order Selection in Finite Mixture Models With a Nonsmooth Penalty
- Flexible parametric bootstrap for testing homogeneity against clustering and assessing the number of clusters