TY - GEN
T1 - Entropy regularized fuzzy c-lines for data with tolerance
AU - Kanzawa, Yuchi
AU - Endo, Yasunori
AU - Miyamoto, Sadaaki
PY - 2009
Y1 - 2009
N2 - This paper presents a new clustering algorithm ,which is based on entropy regularized fuzzy c-lines, can treat data with some errors. First, the tolerance is formulated and introduce into optimization problem of clustering. Next, the problem is solved using Karush-Kuhn-Tucker conditions. Last, the algorithm is constructed based on the results of solving the problem. Some numerical examples for the proposed method are shown.
AB - This paper presents a new clustering algorithm ,which is based on entropy regularized fuzzy c-lines, can treat data with some errors. First, the tolerance is formulated and introduce into optimization problem of clustering. Next, the problem is solved using Karush-Kuhn-Tucker conditions. Last, the algorithm is constructed based on the results of solving the problem. Some numerical examples for the proposed method are shown.
UR - http://www.scopus.com/inward/record.url?scp=71249145179&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=71249145179&partnerID=8YFLogxK
U2 - 10.1109/FUZZY.2009.5277176
DO - 10.1109/FUZZY.2009.5277176
M3 - Conference contribution
AN - SCOPUS:71249145179
SN - 9781424435975
T3 - IEEE International Conference on Fuzzy Systems
SP - 1113
EP - 1118
BT - 2009 IEEE International Conference on Fuzzy Systems - Proceedings
T2 - 2009 IEEE International Conference on Fuzzy Systems
Y2 - 20 August 2009 through 24 August 2009
ER -