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
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;
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4799-0020-6
DOI :
10.1109/FUZZ-IEEE.2013.6622553
