Uma abordagem baseada em tipicidade e excentricidade para agrupamento e classificação de streams de dados
In this thesis we propose a new approach to unsupervised data clustering and classification. The proposed approach is based on typicality and eccentricity concepts. This concepts are used by recently introduced TEDA algorithm for outlier detection. To perform data clustering and classification, i...
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| Format: | doctoralThesis |
| Sprache: | por |
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Brasil
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| Online Zugang: | https://repositorio.ufrn.br/jspui/handle/123456789/24360 |
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