Machine learningSymbolic data
符号数据分析
符号数据分析（SDA）是一个统计框架，旨在分析复杂、聚合或集合值的数据——称为符号数据——其中每个观测值代表一个组或概念，而不是单个标量。SDA由Lynne Billard和Edwin Diday于2003年以现代统计形式引入，它将经典统计学扩展到处理区间值、直方图值和多值变量，从而能够在知识层面而不是原始个体记录层面进行严谨的推断。
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来源
- Billard, L., & Diday, E. (2003). From the statistics of data to the statistics of knowledge: symbolic data analysis. Journal of the American Statistical Association, 98(462), 470–487. DOI: 10.1198/016214503000242 ↗
如何引用本页
ScholarGate. (2026, June 2). Symbolic Data Analysis (SDA). ScholarGate. https://scholargate.app/zh/soft-computing/symbolic-data-analysis
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