TY - GEN
T1 - An online clustering algorithm
AU - Li, Kan
AU - Yao, Fenglan
AU - Liu, Ruipeng
PY - 2011
Y1 - 2011
N2 - This paper presents a new online clustering algorithm called SAFN which is used to learn continuously evolving clusters from non-stationary data. The SAFN uses a fast adaptive learning procedure to take into account variations over time. In non-stationary and multi-class environment, the SAFN learning procedure consists of five main stages: creation, adaptation, mergence, split and elimination. Experiments are carried out in three kinds of datasets to illustrate the performance of the SAFN algorithm for online clustering. Compared with SAKM algorithm, SAFN algorithm shows better performance in accuracy of clustering and multi-class high-dimension data.
AB - This paper presents a new online clustering algorithm called SAFN which is used to learn continuously evolving clusters from non-stationary data. The SAFN uses a fast adaptive learning procedure to take into account variations over time. In non-stationary and multi-class environment, the SAFN learning procedure consists of five main stages: creation, adaptation, mergence, split and elimination. Experiments are carried out in three kinds of datasets to illustrate the performance of the SAFN algorithm for online clustering. Compared with SAKM algorithm, SAFN algorithm shows better performance in accuracy of clustering and multi-class high-dimension data.
KW - Online clustering
KW - non-stationary data
KW - self-adaptive feed-forward neural network
KW - similarity measure
UR - http://www.scopus.com/inward/record.url?scp=80053427871&partnerID=8YFLogxK
U2 - 10.1109/FSKD.2011.6019762
DO - 10.1109/FSKD.2011.6019762
M3 - Conference contribution
AN - SCOPUS:80053427871
SN - 9781612841816
T3 - Proceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011
SP - 1104
EP - 1108
BT - Proceedings - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011
T2 - 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11
Y2 - 26 July 2011 through 28 July 2011
ER -