Archaeological Data Analysis and Fuzzy Clustering

Bibliographic Data

ID8352167
AuthorsM J Baxter (Nottingham Trent University, corresponding author)
Year2009
Volume51
Issue6
Pages1035-1054
Publication date2009-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueArchaeometry (JOURNAL)
Journal identifiersISSN: 0003-813X • E-ISSN: 1475-4754
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1475-4754.2008.00449.x
OpenAlexW2164336668
LanguageEN
Citations received14
References cited21

Cluster analysis is widely used in archaeological data analysis. Fuzzy clustering is a more modern technique than methods normally used by archaeologists and has not been much exploited. Applications that have been reported are sometimes unsatisfactory and usually do not exploit the ‘fuzziness’ of the procedure. After a brief review of the more common methods of cluster analysis, fuzzy ideas and fuzzy clustering are discussed. The method is applied to three data sets of different sizes and complexity, to illustrate particular aspects of, and problems in, application. Summarizing results is less easy than for more standard methods, but has the potential to reveal features of the data concealed by other methods

Archaeology · Cluster (spacecraft) · Cluster analysis · Data mining · Exploit · Fuzzy clustering · Fuzzy logic · Geography · Advanced Clustering Algorithms Research · Artificial Intelligence · Bayesian Methods and Mixture Models · Computer Science · Data Management and Algorithms