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TreeKDE: clustering multivariate data based on decision tree and using one-dimensional kernel density estimation

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Publication:6547179
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DOI10.1080/02664763.2022.2159339MaRDI QIDQ6547179

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

Publication date: 30 May 2024

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





Mathematics Subject Classification ID

Statistics (62-XX)


Cites Work

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  • An advancement in clustering via nonparametric density estimation
  • Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
  • A complete gradient clustering algorithm formed with kernel estimators
  • Finding Groups in Data
  • An efficient algorithm for a complete link method
  • Nonparametric Kernel Density Estimation and Its Computational Aspects
  • A new algorithm for clustering based on kernel density estimation
  • Dynamic Tensor Clustering
  • Essential Tensor Learning for Multi-View Spectral Clustering
  • Multivariate Density Estimation
  • MulticlusterKDE: a new algorithm for clustering based on multivariate kernel density estimation
  • The Elements of Statistical Learning







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