EconPapers    
Economics at your fingertips  
 

A Standardized Treatment of Binary Similarity Measures with an Introduction to k-Vector Percentage Normalized Similarity

Brian Stacey

MPRA Paper from University Library of Munich, Germany

Abstract: This paper attempts to codify a standard nomenclature for similarity measures based on recent literature and to advance the field of similarity measures through the introduction of non-binary similarity between more than two attribute vectors.

Keywords: Binary; Similarity; Nonbinary; Similarity; Nonparametric; Similarity; Testing; Multivector; Similarity (search for similar items in EconPapers)
JEL-codes: C14 C53 C65 (search for similar items in EconPapers)
Date: 2016-08-01
New Economics Papers: this item is included in nep-cse
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/72815/1/MPRA_paper_72815.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/72882/1/MPRA_paper_72882.pdf revised version (application/pdf)

Related works:
Journal Article: A Standardized Treatment of Binary Similarity Measures with an Introduction to k-Vector Percentage Normalized Similarity (2017) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:72815

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-30
Handle: RePEc:pra:mprapa:72815