Online multi-divisive hierarchical clustering for on-body sensor data.
Data mining applications over on-body sensor data have earned great attention in recent years. We propose a novel Online Multi-divisive Hierarchical Clustering Method on on-body sensor data. Our method evolves tree-like top down hierarchy cluster, which splits and agglomerates clusters as needed. Experimental results prove a competing quality for our method over existing ones.
Musa
Ibrahim Musa Ishag
IM
Database and Bioinformatics Laboratory, Chungbuk National University, Chungbuk, South Korea.
Dafa-Alla
Anour F A
AF
Yi
Gyeong Min
GM
Lee
Dong Gyu
DG
Cho
Myeong-Chan
MC
Bae
Jang-Whan
JW
Ryu
Keun Ho
KH
D000465:Algorithms; D016000:Cluster Analysis; D019295:Computational Biology; D057225:Data Mining; D006801:Humans; D008991:Monitoring, Physiologic / Q000706:statistics & numerical data*; D009862:Online Systems