Better than the best? Answers via model ensemble in density-based clustering

DOI10.1007/S11634-020-00423-6OpenAlexW3091582224MaRDI QIDQ2051575

Luca Scrucca, Alessandro Casa, Giovanna Menardi

Publication date: 24 November 2021

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1911.06726

zbMATH Keywords

cluster analysisdensity estimationmodel averagingdensity-based clusteringensemble learning

Mathematics Subject Classification ID

Multivariate analysis (62H99) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (1)

Group-wise shrinkage estimation in penalized model-based clustering

Uses Software

• mclust
• R
• ks
• EMMIXskew

Cites Work

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• Deep Gaussian mixture models
• Methods for merging Gaussian mixture components
• Linear and convex aggregation of density estimators
• Estimating the dimension of a model
• Consensus clustering: A resampling-based method for class discovery and visualization of gene expression microarray data
• Identifying connected components in Gaussian finite mixture models for clustering
• Estimating the cluster tree of a density by analyzing the minimal spanning tree of a sample
• Mixture model modal clustering
• Ensemble Gaussian mixture models for probability density estimation
• Mixture model averaging for clustering
• Improved initialisation of model-based clustering using Gaussian hierarchical partitions
• Model Selection and Model Averaging
• The estimation of the gradient of a density function, with applications in pattern recognition
• Model-Based Gaussian and Non-Gaussian Clustering
• Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
• The multivariate skew-normal distribution
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• 10.1162/153244303321897735
• Multivariate Density Estimation
• MODEL SELECTION AND INFERENCE: FACTS AND FICTION
• The elements of statistical learning. Data mining, inference, and prediction
• A Review on Modal Clustering

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