DocumentCode
641043
Title
Adequacy of a user-defined vocabulary to the data structure
Author
Lesot, Marie-Jeanne ; Smits, Gregory ; Pivert, Olivier
Author_Institution
LIP6, UPMC, Paris, France
fYear
2013
fDate
7-10 July 2013
Firstpage
1
Lastpage
8
Abstract
Clustering methods are of a particular interest to discover and to summarize the structure of a data set. However, interpreting clusters may be abstruse for unexperienced users who most of the time possess their own vocabulary to describe data and properties. In this article, an approach is proposed to determine and quantify how appropriate a user-defined vocabulary is regarding the structure captured on the data distribution using a clustering method. Two measures of vocabulary appropriateness based on clustering are proposed and tested on artificial data.
Keywords
data structures; pattern clustering; vocabulary; artificial data; clustering methods; data distribution; data structure; user-defined vocabulary adequacy; vocabulary appropriateness; Clustering algorithms; Context; Data structures; Indexes; Pragmatics; Vectors; Vocabulary; Personal fuzzy vocabulary; adequacy measures; clustering;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location
Hyderabad
ISSN
1098-7584
Print_ISBN
978-1-4799-0020-6
Type
conf
DOI
10.1109/FUZZ-IEEE.2013.6622553
Filename
6622553
Link To Document