Divisive Hierarchical Clustering of Drugs Based on Chemical Compositions

dc.contributor.author	Wai, Zin Mar
dc.contributor.author	Win, Kalyar
dc.date.accessioned	2019-08-05T13:05:18Z
dc.date.available	2019-08-05T13:05:18Z
dc.date.issued	2009-12-30
dc.identifier.uri	http://onlineresource.ucsy.edu.mm/handle/123456789/1786
dc.description.abstract	Clustering is the process of grouping the data into classes or clusters. Objects within a class have high similarity in comparison to one another, but are very dissimilar to objects in other clusters. In this paper we intend to cluster drugs based on their chemical composition so that users can know which drug on which cluster is composed of what chemicals by which composition. We will implement this system by using a hierarchical divisive monothetic clustering, called DIVICLUS_T. It allows becoming a decision tree of the hierarchy. This paper gives the valuable information of drugs for drug- researchers.	en_US
dc.language.iso	en	en_US
dc.publisher	Fourth Local Conference on Parallel and Soft Computing	en_US
dc.subject	Data mining	en_US
dc.subject	Clustering	en_US
dc.subject	Divisive	en_US
dc.subject	DIVCLUS_T	en_US
dc.title	Divisive Hierarchical Clustering of Drugs Based on Chemical Compositions	en_US
dc.type	Article	en_US