A non-parametric method to estimate the number of clusters
type: Item
instance of: scholarly article
title: A non-parametric method to estimate the number of clusters
zbMATH Open document ID: 1506.62064
author: André Fujita
author: Daniel Y. Takahashi
author: Alexandre G. Patriota
published in: Computational Statistics and Data Analysis
publication date: 2018-11-23T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62G05
zbMATH DE Number: 6983911
zbMATH Keywords: clustering
zbMATH Keywords: silhouette method
zbMATH Keywords: \(k\)-means
zbMATH Keywords: spectral clustering
describes a project that uses: R
MaRDI profile type: Publication
full work available at URL: j.csda.2013.11.012
OpenAlex ID: W1967178753
cites work: A Sober Look at Clustering Stability
cites work: Q5180702
cites work: A classification EM algorithm for clustering and two stochastic versions
cites work: Selection of the number of clusters via the bootstrap method
cites work: A Method for Comparing Two Hierarchical Clusterings
cites work: Q4188597
cites work: A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering
cites work: Stability-Based Validation of Clustering Solutions
cites work: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
cites work: DWT-CEM: an algorithm for scale-temporal clustering in fMRI
cites work: Finding the Number of Clusters in a Dataset
cites work: Estimating the number of clusters in a data set via the gap statistic
cites work: Multisurface method of pattern separation for medical diagnosis applied to breast cytology.
cites work: Spectral clustering with eigenvector selection
DOI: 10.1016/J.CSDA.2013.11.012
description: scientific article; zbMATH DE number 6983911