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k-Adic Similarity Coefficients for Binary (Presence/Absence) Data.
- Source :
-
Journal of Classification . 2009, Vol. 26 Issue 2, p227-245. 19p. 3 Charts. - Publication Year :
- 2009
-
Abstract
- k-Adic formulations (for groups of objects of size k) of a variety of 2-adic similarity coefficients (for pairs of objects) for binary (presence/absence) data are presented. The formulations are not functions of 2-adic similarity coefficients. Instead, the main objective of the the paper is to present k-adic formulations that reflect certain basic characteristics of, and have a similar interpretation as, their 2-adic versions. Two major classes are distinguished. The first class is referred to as Bennani-Heiser similarity coefficients, which contains all coefficients that can be defined using just the matches, the number of attributes that are present and that are absent in k objects, and the total number of attributes. The coefficients in the second class can be formulated as functions of Dice’s association indices. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01764268
- Volume :
- 26
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Journal of Classification
- Publication Type :
- Academic Journal
- Accession number :
- 43534994
- Full Text :
- https://doi.org/10.1007/s00357-009-9032-1