Finding the representative in a cluster using correlation clustering
| Autor: | László Aszalós, Tamás Mihálydeák, Dávid Nagy |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Group (mathematics)
business.industry Computer science Correlation clustering 0211 other engineering and technologies 020101 civil engineering Pattern recognition 02 engineering and technology 0201 civil engineering Computer Science Applications Task (project management) Software Modeling and Simulation 021105 building & construction Cluster (physics) General Materials Science Artificial intelligence business Civil and Structural Engineering |
| Zdroj: | Pollack Periodica. 14:15-24 |
| ISSN: | 1788-3911 1788-1994 |
| DOI: | 10.1556/606.2019.14.1.2 |
| Popis: | Correlation clustering is a widely used technique in data mining. The clusters contain objects, which are typically similar to each other and different from objects from other groups. It can be an interesting task to find the member, which is the most similar to the others for each group. These objects can be called representatives. In this paper, a possible way to find these representatives are shown and software to test the method is also provided. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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