Title :
Fuzzy clustering in library readers based on book ratings
Author_Institution :
Sch. of Inf. Sci., Beijing Language & Culture Univ., Beijing, China
Abstract :
This paper develops two clustering methods to group library readers based on their ratings. One deals with Boolean values and another deals with numeric values.
Keywords :
Boolean functions; fuzzy set theory; libraries; pattern clustering; Boolean value; book rating; fuzzy clustering; group library reader; Algorithm design and analysis; Clustering algorithms; Educational institutions; Libraries; Motion pictures; Symmetric matrices; Vectors; Boolean matrix; F-test; Fuzzy clustering; Fuzzy equivalence relation; Fuzzy matrix;
Conference_Titel :
Granular Computing (GrC), 2011 IEEE International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4577-0372-0
DOI :
10.1109/GRC.2011.6122590
