期刊名称：BOOK OF PROCEEDINGS OF KARLOVAC UNIVERSITY OF APPLIED SCIENCES
印刷版ISSN：1848-3038
出版年度：2012
卷号：2
期号：1
页码：21-30
出版社：VELEUČILIŠTE U KARLOVCU
摘要：Data processing represents one of the key steps during most research projects. In most cases structure of data to process is not known in advance, so it is necessary during the data analysis to group the research data into data clusters, from which research conclusions can be derived. Today large numbers of methods, as well as diverse set of software tools are used for data clustering. Many of such software tools are open source software, which in quality in many cases surpass the quality of many commercial software solutions. This paper will provide an overview of one of the most used methods for hierarchical data clustering, as well as overview of open source software tools for using the afore mentioned method (e.g. CLUTO, R). Some of the software tools are implemented as standalone applications, while others are implemented as libraries which can be easily invoked from within some other programming language development environment.
