CLUES: a non-parametric clustering method based on local shrinking
type: Item
instance of: scholarly article
title: CLUES: a non-parametric clustering method based on local shrinking
zbMATH Open document ID: 1452.62474
author: Weiliang Qiu
author: Ruben H. Zamar
author: Xiao-Gang Wang
published in: Computational Statistics and Data Analysis
publication date: 2009-06-02T00:00:00Z
full work available at URL: http://hdl.handle.net/10315/925
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62J07
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 5560158
zbMATH Keywords: automatic clustering
zbMATH Keywords: \(K\)-nearest neighbors
zbMATH Keywords: local shrinking
zbMATH Keywords: number of clusters
describes a project that uses: R
describes a project that uses: AS 136
describes a project that uses: clusfind
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
OpenAlex ID: W2052811446
cites work: Q5180702
cites work: Calibrating the Excess Mass and Dip Tests of Modality
cites work: Model-Based Clustering, Discriminant Analysis, and Density Estimation
cites work: The estimation of the gradient of a density function, with applications in pattern recognition
cites work: Estimating and depicting the structure of a distribution of random functions
cites work: Algorithm AS 136: A K-Means Clustering Algorithm
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: Finding Groups in Data
cites work: Multivariate k-nearest neighbor density estimates
cites work: Q5617409
cites work: Multivariate Clustering Procedures with Variable Metrics
cites work: Numerical methods for fuzzy clustering
cites work: Q4424468
cites work: Estimating the number of clusters in a data set via the gap statistic
DOI: 10.1016/J.CSDA.2006.12.016
description: scientific article; zbMATH DE number 5560158