Clustering methods for geometric objects and applications to design problems
type: Item
instance of: scholarly article
title: Clustering methods for geometric objects and applications to design problems
zbMATH Open document ID: 0641.68130
DOI: 10.1007/BF01890985
author: Frank Dehne
author: Hartmut Noltemeier
published in: The Visual Computer
publication date: 1986-01-01T00:00:00Z
Mathematics Subject Classification ID: 68T10
Mathematics Subject Classification ID: 68Q25
zbMATH DE Number: 4045214
zbMATH Keywords: Voronoi tree
zbMATH Keywords: pattern recognition
zbMATH Keywords: VLSI
zbMATH Keywords: computational geometry
zbMATH Keywords: clustering
zbMATH Keywords: layout problems
MaRDI profile type: Publication
cites work: Q3670582
cites work: Efficient algorithms for agglomerative hierarchical clustering methods
cites work: Generalization of Voronoi Diagrams in the Plane
cites work: Expected-time complexity results for hierarchic clustering algorithms which use cluster centres
cites work: Approximations to clustering and subgraph problems on trees
full work available at URL: https://doi.org/10.1007/bf01890985
OpenAlex ID: W2021120363
description: scientific article; zbMATH DE number 4045214