title: Online multi-divisive hierarchical clustering for on-body sensor data.
abstract: 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.
authors.affiliation: Database and Bioinformatics Laboratory, Chungbuk National University, Chungbuk, South Korea.
authors.forename: Ibrahim Musa Ishag
authors.initials: IM
authors.lastname: Musa
authors.forename: Anour F A
authors.initials: AF
authors.lastname: Dafa-Alla
authors.forename: Gyeong Min
authors.initials: GM
authors.lastname: Yi
authors.forename: Dong Gyu
authors.initials: DG
authors.lastname: Lee
authors.forename: Myeong-Chan
authors.initials: MC
authors.lastname: Cho
authors.forename: Jang-Whan
authors.initials: JW
authors.lastname: Bae
authors.forename: Keun Ho
authors.initials: KH
authors.lastname: Ryu
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D019295:Computational Biology; D057225:Data Mining; D006801:Humans; D008991:Monitoring, Physiologic / Q000706:statistics & numerical data*; D009862:Online Systems