TY - GEN
T1 - From data to granular data and granular classifiers
AU - Al-Hmouz, Rami
AU - Pedrycz, Witold
AU - Balamash, Abdullah
AU - Morfeq, Ali
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/4
Y1 - 2014/9/4
N2 - Information granules emerging as a result of an abstract and more condensed and global view at numeric data play an essential role in various pattern recognition pursuits. In this study, we investigate an idea of granular prototypes (representatives) and discuss their role in the realization of classification schemes. A two-stage procedure of a formation of information granules is discussed. We show how the commonly used clustering methods are viewed as a prerequisite for the construction of granular prototypes. In this regard, a certain version of the principle of justifiable granularity is investigated. In the sequel, a characterization of information granules expressed in terms of their information (classification) content is provided and its usage in the realization of a classifier is studied. Experimental studies involving both synthetic and publicly available data are reported.
AB - Information granules emerging as a result of an abstract and more condensed and global view at numeric data play an essential role in various pattern recognition pursuits. In this study, we investigate an idea of granular prototypes (representatives) and discuss their role in the realization of classification schemes. A two-stage procedure of a formation of information granules is discussed. We show how the commonly used clustering methods are viewed as a prerequisite for the construction of granular prototypes. In this regard, a certain version of the principle of justifiable granularity is investigated. In the sequel, a characterization of information granules expressed in terms of their information (classification) content is provided and its usage in the realization of a classifier is studied. Experimental studies involving both synthetic and publicly available data are reported.
KW - clustering
KW - Fuzzy C-Means
KW - Granular Computing
KW - information granules
KW - pattern classification
KW - principle of justifiable granularity
UR - http://www.scopus.com/inward/record.url?scp=84912535930&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84912535930&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2014.6891592
DO - 10.1109/FUZZ-IEEE.2014.6891592
M3 - Conference contribution
AN - SCOPUS:84912535930
T3 - IEEE International Conference on Fuzzy Systems
SP - 432
EP - 438
BT - Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014
Y2 - 6 July 2014 through 11 July 2014
ER -