This work presents the topic of data mining on the web. It is focused on clustering. The aim of this project was to study the field of clustering and to implement clustering through the k-means algorithm. Then, the algorithm was tested on a dataset of text documents and on data extracted from web. This clustering method was implemented by means of Java technologies.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:235960 |
| Date | January 2008 |
| Creators | Rychnovský, Martin |
| Contributors | Burget, Radek, Bartík, Vladimír |
| Publisher | Vysoké učení technické v Brně. Fakulta informačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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