Skoči na glavni sadržaj

Zbornik Veleučilišta u Karlovcu, Vol. 2 No. 1, 2012.

Stručni rad

Clustering with Open Source Tools

VLADIMIR ŠPIŠIĆ ; VELEUČILIŠTE U KARLOVCU
IVAN ŠTEDUL ; VELEUČILIŠTE U KARLOVCU
VEDRAN VYROUBAL orcid id orcid.org/0000-0001-8876-1768 ; VELEUČILIŠTE U KARLOVCU

Puni tekst: hrvatski pdf 292 Kb

str. 21-30

preuzimanja: 962

citiraj

Sažetak

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.

Ključne riječi

clustering; open source

Hrčak ID:

87439

URI

https://hrcak.srce.hr/87439

Datum izdavanja:

20.8.2012.

Podaci na drugim jezicima: hrvatski

Posjeta: 1.920 *