@inbook{072307112af54b0187ac785a5a4f8d72,
title = "Thinking ultrametrically, thinking p-adically",
abstract = "We describe the use of ultrametric topology and closely associated p-adic number theory in a wide range of fields that all share strong elements of common mathematical and computational underpinnings. These include data analysis, including in the “big data” world of massive and high dimensional data sets; physics at very small scales; search and discovery in general information spaces; and in logic and reasoning.",
keywords = "Clustering, Complexity, Data analytics, Hierarchy, Information storage and retrieval, Multivariate data analysis, p-Adic, Pattern recognition, Ultrametric topology",
author = "Fionn Murtagh",
year = "2014",
month = may,
day = "3",
doi = "10.1007/978-1-4939-0742-7_16",
language = "English",
isbn = "9781493907410",
series = "Springer Optimization and Its Applications",
publisher = "Springer New York",
pages = "249--272",
editor = "Fuad Aleskerov and Boris Goldengorin and Pardalos, {Panos M.}",
booktitle = "Clusters, Orders, and Trees",
address = "United States",
}