Search
Now showing items 1-3 of 3
A study of type-2 fuzzy clustering
(University of Missouri--Columbia, 2022)
Fuzzy C-means (FCM) has been a prominent clustering algorithm for a long time. It was extended to a type-2 framework by the linguistic fuzzy C-means (LFCM) algorithm that operates on vectors of fuzzy numbers utilizing the ...
Clustering in relational data and ontologies
(University of Missouri--Columbia, 2010)
This dissertation studies the problem of clustering objects represented by relational data. This is a pertinent problem as many real-world data sets can only be represented by relational data for which object-based clustering ...
Linguistic summarization of human activity
(University of Missouri--Columbia, 2010)
The thesis advanced herein is that linguistic summarization is essential for the reliable succinct modeling and inference of human activity. It is also asserted that the inherent and unavoidable uncertainty is linguistic ...