Michael, Michael and Setio, Basuki (2010) Investigation on How Better Data Quality Affecting the Hierarchical Clustering Process Time. Bachelor thesis, Swiss German University.

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Abstract

Hierarchical Clustering is one of many clustering methods used to exploring the relationship in statistical data. It cluster data based on distance, similarities and correlation. The result will be shown as Dendogram. When developing a hierarchical clustering application, most of the problems occur on how you manage the data and how you process it so it will not use too many resources in your computer in order to reduce the running time. The application will be developed using C# with .Net 3.5 frameworks in Visual Studio 2008 as our IDE (Integrated Development Environment) and Windows Vista as the operating system.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Hierarchical Clustering; Data; Dendogram; Running Time
Subjects:	Q Science > QA Mathematics > QA76 Computer software > > QA76.94 Electronic data processing--Auditing T Technology > T Technology (General) > T58.5 Information technology
Divisions:	Faculty of Engineering and Information Technology > Department of Information Technology
Depositing User:	Astuti Kusumaningrum
Date Deposited:	21 Jan 2021 17:00
Last Modified:	21 Jan 2021 17:00
URI:	http://repository.sgu.ac.id/id/eprint/1033

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