Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/62768 
Year of Publication: 
2001
Series/Report no.: 
SFB 373 Discussion Paper No. 2001,79
Publisher: 
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, Berlin
Abstract: 
The problem of selecting a clustering algorithm from the myriad of algorithms has been discussed in recent years. Many researchers have attacked this problem by using the concept of admissibility (e.g. Fisher and Van Ness, 1971, Yadohisa, et al., 1999). We propose a new criterion called the structured ratio for measuring the clustering results. It includes the concept of the well-structured admissibility as a special case, and represents some kind of goodness-of-fit of the clustering result. New admissibilities of the clustering algorithm and a new agglomerative hierarchical clustering algorithm are also provided by using the structured ratio. Details of the admissibilities of the eight popular algorithms are discussed.
Subjects: 
structure
admissibility
AHCA (agglomerative hierarchical clustering algorithm)
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

Files in This Item:
File
Size
105.61 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.