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Divisive Hierarchical Clustering of Drugs Based on Chemical Compositions
https://meral.edu.mm/records/4081
https://meral.edu.mm/records/4081e571956f-764e-433f-b90e-483b2746b6e9
ef910ca4-0809-428c-a409-1cc627103f03
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Title | ||||||
Title | Divisive Hierarchical Clustering of Drugs Based on Chemical Compositions | |||||
Language | en | |||||
Publication date | 2009-12-30 | |||||
Authors | ||||||
Wai, Zin Mar | ||||||
Win, Kalyar | ||||||
Description | ||||||
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. | ||||||
Keywords | ||||||
Data mining, Clustering, Divisive, DIVCLUS_T | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1786 | |||||
Journal articles | ||||||
Fourth Local Conference on Parallel and Soft Computing | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |