Comparing Modifcation Operators Used in Clustering Algorithm Based on a Sequence of Discriminant Rules
| Autor: | Dariusz Mazur |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Fuzzy clustering
business.industry Single-linkage clustering Correlation clustering Constrained clustering Pattern recognition computer.software_genre Data stream clustering CURE data clustering algorithm Canopy clustering algorithm Data mining Artificial intelligence business Cluster analysis computer Mathematics |
| Zdroj: | Advances in Soft Computing ISBN: 9783540250548 CORES |
| DOI: | 10.1007/3-540-32390-2_29 |
| Popis: | Clustering as a data exploration technique is very widely applied. It is based on clustering algorithms whose usefulness depends strictly on the form and style of the incoming data. The following article comparing operator in evolutionary algorithms used to clustering of symbolic data. Clustering methods is based on list of decision rules. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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