Identifying genuine clusters in a classification

DOI10.1016/0167-9473(94)90085-XzbMath0825.62536OpenAlexW2027346321MaRDI QIDQ5917672

No author found.

Publication date: 17 August 1995

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

Full work available at URL: https://doi.org/10.1016/0167-9473(94)90085-x

zbMATH Keywords

Poisson modelcluster validationrandom dissimilarity matrix modelunimodal model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Clustering in the social and behavioral sciences (91C20)

Related Items

A statistical model of cluster stability ⋮ A permutation test for determining significance of clusters with applications to spatial and gene expression data ⋮ Loevinger's measures of rule quality for assessing cluster stability ⋮ A randomized algorithm for estimating the number of clusters

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• On some significance tests in cluster analysis
• Parsimonious trees
• Efficient algorithms for divisive hierarchical clustering with the diameter criterion
• Some applications of graph theory to clustering
• Asymptotic distributions for clustering criteria
• Statistische Modelle und Bayessche Verfahren zur Bestimmung einer unbekannten Klassifikation normalverteilter zufälliger Vektoren
• Monotone invariant clustering procedures
• Historical Notes on the Wilcoxon Unpaired Two-Sample Test
• An Intrinsic Dimensionality Estimator from Near-Neighbor Information
• Finding the edge of a Poisson forest
• Bayesian cluster analysis
• A Probability Theory of Cluster Analysis
• An Algorithm for Convex Polytopes
• Admissible clustering procedures
• On the theory and construction of k-clusters
• On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other