TY - GEN
T1 - Clustering massive categorical data with class association rules
AU - Berrado, Abdelaziz
AU - Runger, George
PY - 2008/12/1
Y1 - 2008/12/1
N2 - Clustering algorithms partition data sets into of objects such that the pairwise similarity objects within the same cluster is higher than assigned to different clusters. Defining a measure becomes challenging in the of categorical data and affects the quality meaningfulness of the clusters formed. , the curse of dimensionality diminishes robustness of such measures. This paper introduces (Supervised Clustering with Association Rules) nontraditional algorithm for clustering massive high categorical data. SCAR is robust to the of dimensionality, it relies on association rules an intuitive way to evaluate the similarity between objects and group them.
AB - Clustering algorithms partition data sets into of objects such that the pairwise similarity objects within the same cluster is higher than assigned to different clusters. Defining a measure becomes challenging in the of categorical data and affects the quality meaningfulness of the clusters formed. , the curse of dimensionality diminishes robustness of such measures. This paper introduces (Supervised Clustering with Association Rules) nontraditional algorithm for clustering massive high categorical data. SCAR is robust to the of dimensionality, it relies on association rules an intuitive way to evaluate the similarity between objects and group them.
UR - http://www.scopus.com/inward/record.url?scp=67649511993&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67649511993&partnerID=8YFLogxK
U2 - 10.1109/INNOVATIONS.2008.4781693
DO - 10.1109/INNOVATIONS.2008.4781693
M3 - Conference contribution
AN - SCOPUS:67649511993
SN - 9781424433971
T3 - 2008 International Conference on Innovations in Information Technology, IIT 2008
SP - 223
EP - 227
BT - 2008 International Conference on Innovations in Information Technology, IIT 2008
T2 - 2008 International Conference on Innovations in Information Technology, IIT 2008
Y2 - 16 December 2008 through 18 December 2008
ER -