Large Language Models for Transforming Categorical Data to Interpretable Feature Vectors
When analyzing heterogeneous data comprising numerical and categorical attributes, it is common to treat the different data types separately or transform the categorical attributes to numerical ones. The transformation has the advantage of facilitating an integrated multi-variate analysis of all att...
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - PP(2024) vom: 30. Sept. |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics |
| Schlagworte: | Journal Article |
| Online verfügbar |
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