Latent structureMultivariate analysis
多维尺度分析 (MDS)
多维尺度分析将仅由成对相似性或非相似性描述的对象映射到一个低维几何空间中，使得该空间中的距离尽可能忠实地反映原始的邻近结构。它广泛用于可视化心理学、社会学和行为数据中隐藏的结构。
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Method map
The neighbourhood of related methods — select a node to explore.
来源
- Kruskal, J. B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29(1), 1–27. DOI: 10.1007/BF02289565 ↗
- Cox, T. F. & Cox, M. A. A. (2001). Multidimensional Scaling (2nd ed.). Chapman & Hall/CRC. ISBN: 978-1584880943
如何引用本页
ScholarGate. (2026, June 3). Multidimensional Scaling. ScholarGate. https://scholargate.app/zh/statistics/multidimensional-scaling
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 聚类分析统计学↔ compare
- 对应分析统计学↔ compare
- 判别分析统计学↔ compare
- 探索性因子分析（EFA）统计学↔ compare
- 潜在类别分析 (Latent Class Analysis, LCA)统计学↔ compare