Title :
A linguistic clustering algorithm for fuzzy prototype induction
Author :
Rodríguez, I. González ; Lawry, J. ; Baldwin, J.F.
Author_Institution :
Dept. of Eng. Math., Bristol Univ., UK
Abstract :
A clustering algorithm is described which learns fuzzy prototypes to represent data sets and decides the number of prototypes needed using a new measure of prototype quality. This algorithm is based on ideas taken from mass assignment theory. It is illustrated with a model classification problem and its potential is shown by its application to a benchmark problem for glass identification
Keywords :
fuzzy logic; learning (artificial intelligence); pattern clustering; probability; data sets; fuzzy prototype induction; linguistic clustering algorithm; mass assignment theory; model classification problem; Clustering algorithms; Data mining; Databases; Design engineering; Fuzzy sets; Glass; Information technology; Mathematics; Probability distribution; Prototypes;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943828
