Granular Analysis in Clustering Based on the Theory of Fuzzy Tolerance Quotient Space

Autor:	Zuguo Wu, Lunwu Wang, Lunwen Wang
Rok vydání:	2010
Předmět:	Fuzzy clustering Correlation clustering FLAME clustering Equivalence relation Quotient space (topology) Cluster analysis Topology Algorithm Fuzzy logic k-medians clustering Mathematics
Zdroj:	Lecture Notes in Computer Science ISBN: 9783642162473 RSKT
DOI:	10.1007/978-3-642-16248-0_100
Popis:	Clustering is defining an equivalence relation between the samples in nature, and two samples are equivalent if they belong to one class. The rough and fine of the granularity reflect the similarity threshold in clustering. In this paper, the disadvantage of granular analysis in clustering based on the theory quotient space, which can't solve the problem when there are intersections between classes, is pointed out, and the theory of fuzzy tolerance quotient space is introduced, and granular analysis in clustering based on the theory of fuzzy tolerance quotient space is presented. The results of the experiment about clustering radio communication signals show the efficiency of the algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2bba37b4aa58df9964e21624a9e4c17b https://doi.org/10.1007/978-3-642-16248-0_100 Zobrazit plný text záznamu