Open AccessCrossing levels: The potential for numerical taxonomy and fuzzy set approaches to study multi-level longitudinal change
Author(s) -
Emma Uprichard
Publication year - 2007
Publication title -
methodological innovations online
Language(s) - English
Resource type - Journals
ISSN - 1748-0612
DOI - 10.4256/mio.2007.0006
Subject(s) - qualitative comparative analysis , computer science , set (abstract data type) , context (archaeology) , data science , taxonomy (biology) , data mining , management science , machine learning , geography , botany , archaeology , biology , programming language , economics
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