A New Semi-supervised Clustering Mehtod Based on Convex Hull

Autor:	Liu Bo, Wang Guiliang, Ding Xiangqian, Xia Peiyong
Rok vydání:	2011
Předmět:	Computer Science::Machine Learning Convex hull Pattern clustering business.industry Regular polygon Pattern recognition Statistics::Machine Learning Statistical classification Hull Artificial intelligence Cluster analysis business Mathematics Semi supervised clustering
Zdroj:	2011 Fourth International Conference on Intelligent Computation Technology and Automation.
DOI:	10.1109/icicta.2011.544
Popis:	This paper introduce the theory of convex hulls into the semi-supervised clustering, and through combining them, we come up with a new thought to the semi-supervise clustering. Then we verify the feasibility of the convex hull in the semi-supervised clustering through experiment which be carried in the two demensional space.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::363b061dfc424db9eb71bb371e2a2a4c https://doi.org/10.1109/icicta.2011.544 Zobrazit plný text záznamu