MulticlusterKDE: a new algorithm for clustering based on multivariate kernel density estimation

DOI10.1080/02664763.2020.1799958OpenAlexW3045919176MaRDI QIDQ5861278

Luiz Carlos Matioli, Sandrina Rafaela Andrade Santos, M. Kleina, D. Scaldelai

Publication date: 4 March 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2020.1799958

zbMATH Keywords

kernel density estimationGaussian kerneloptimization methodclustering datamulticlusterKDE

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Related Items (1)

MulticlusterKDE

Uses Software

• mclust
• R
• Silhouettes
• UCI-ml
• pdfCluster
• clusfind
• ClusterKDE

Cites Work

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• Nonparametric Kernel Density Estimation and Its Computational Aspects
• Genetic Variant Set-Based Tests Using the Generalized Berk–Jones Statistic With Application to a Genome-Wide Association Study of Breast Cancer
• A new algorithm for clustering based on kernel density estimation
• Essential Tensor Learning for Multi-View Spectral Clustering
• Multivariate Density Estimation

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