Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Коэффициент диссимилярности Брэя-Кёртиса× | Коэффициент Сёренсена× | |
|---|---|---|
| Область | Принятие решений | Принятие решений |
| Семейство | MCDM | MCDM |
| Год появления≠ | 1957 | 1945 |
| Автор метода≠ | John Bray and John T. Curtis | Thorvald Sorensen and Lee Dice |
| Тип≠ | Ecological community similarity measure | Binary and compositional similarity measure |
| Основополагающий источник≠ | Bray, J. R., & Curtis, J. T. (1957). An ordination of the upland forest communities of southern Wisconsin. Ecological Monographs, 27(4), 325-349. DOI ↗ | Sorensen, T. (1948). A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegetation on Danish commons. Biologiske Skrifter, 5, 1-34. link ↗ |
| Другие названия | Bray-Curtis index, Sorensen-Bray-Curtis, percentage difference | Dice coefficient, Czekanowski index, F1 similarity |
| Связанные≠ | 3 | 1 |
| Сводка≠ | Bray-Curtis dissimilarity is a quantitative measure of compositional difference between two samples, widely used in ecology and community analysis. Introduced by John Bray and John T. Curtis in 1957 for comparing forest communities, this index ranges from 0 (identical composition) to 1 (completely different). It is sensitive to abundance differences and is particularly effective for abundance data such as species counts, microbial populations, or preference intensities. | Sorensen-Dice coefficient, also called Dice coefficient or Czekanowski index, measures the similarity between two sets or samples based on presence and absence of attributes. Introduced independently by Thorvald Sorensen (1948) and Lee Dice (1945), this index ranges from 0 (completely dissimilar) to 1 (identical). It is particularly well-suited for binary presence-absence data and is the symmetric counterpart to the Bray-Curtis dissimilarity for abundance data. |
| ScholarGateНабор данных ↗ |
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