方法证据记录
Gower Distance
Gower distance is a versatile metric for comparing observations with mixed variable types (continuous, ordinal, categorical, and binary). Introduced by John C. Gower in 1971, this similarity coefficient computes a general measure that ranges from 0 (completely dissimilar) to 1 (identical). It automatically scales variables to a common unit and handles missing values gracefully, making it ideal for clustering and classification on heterogeneous datasets.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Gower Distance Metric
分类方法记录 · mcdm / decision-making
- Gower, J. C. (1971). A general coefficient of similarity and some of its properties. Biometrics, 27(4), 857-874. · DOI 10.2307/2528823
- Gower, J. C. (1985). Properties of Euclidean and non-Euclidean distance matrices. Linear Algebra and its Applications, 67, 81-97. · DOI 10.1016/0024-3795(85)90187-9
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