KNN-kernel density-based clustering for high-dimensional multivariate data

DOI10.1016/J.CSDA.2005.10.001zbMath1157.62448DBLPjournals/csda/TranWB06OpenAlexW1979896142WikidataQ61649431 ScholiaQ61649431MaRDI QIDQ1010386

J. Martínez

Publication date: 6 April 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2005.10.001

zbMATH Keywords

classificationclusteringmultivariate data

Mathematics Subject Classification ID

Density estimation (62G07) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (8)

Model-based clustering of high-dimensional data: a review ⋮ Data-driven \(k\)NN estimation in nonparametric functional data analysis ⋮ Unnamed Item ⋮ kNN robustification equivariant nonparametric regression estimators for functional ergodic data ⋮ Approximate inference of the bandwidth in multivariate kernel density estimation ⋮ The Complete Gradient Clustering Algorithm: properties in practical applications ⋮ A new kernel density estimator based on the minimum entropy of data set ⋮ Exhaustivek-nearest-neighbour subspace clustering

Cites Work

• Variable kernel density estimation
• Distribution free decomposition of multivariate data
• The estimation of the gradient of a density function, with applications in pattern recognition
• Finite mixture models
• A Nonparametric Estimate of a Multivariate Density Function
• A cautionary note on likelihood ratio tests in mixture models
• Unnamed Item
• Unnamed Item
• Unnamed Item

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