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since they are more complex than standard ones, as they not only contain values or categories, but also include internal variation and structure. SDA is based on four spaces: the space of individuals, the space of concepts, the space of descriptions, and the space of symbolic objects. The space of
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where symbolic data tables are used as input and symbolic objects are made output as a result. The data units are called
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descriptions models individuals, while the space of symbolic objects models concepts.
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55:(December 2003). "An introduction to symbolic data analysis and the SODAS software".
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An introduction to symbolic data analysis and its
Application to the Sodas Project
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R2S: An R package to transform relational data into symbolic data
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Symbolic Data
Analysis: Conceptual Statistics and Data Mining
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Analysis: Conceptual Statistics and Data Mining
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Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
