Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Disimilaritatea Bray-Curtis× | Distanța Canberra× | Coeficientul Sorensen-Dice× | |
|---|---|---|---|
| Domeniu | Luarea deciziilor | Luarea deciziilor | Luarea deciziilor |
| Familie | MCDM | MCDM | MCDM |
| Anul apariției≠ | 1957 | 1967 | 1945 |
| Autorul original≠ | John Bray and John T. Curtis | Geoffrey Lance and William Williams | Thorvald Sorensen and Lee Dice |
| Tip≠ | Ecological community similarity measure | Normalized city-block distance | Binary and compositional similarity measure |
| Sursa seminală≠ | Bray, J. R., & Curtis, J. T. (1957). An ordination of the upland forest communities of southern Wisconsin. Ecological Monographs, 27(4), 325-349. DOI ↗ | Lance, G. N., & Williams, W. T. (1967). A general theory of classificatory sorting strategies. Computer Journal, 10(3), 271-277. 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 ↗ |
| Denumiri alternative≠ | Bray-Curtis index, Sorensen-Bray-Curtis, percentage difference | Canberra metric, normalized Manhattan distance | Dice coefficient, Czekanowski index, F1 similarity |
| Înrudite≠ | 3 | 1 | 1 |
| Rezumat≠ | 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. | Canberra distance is a weighted version of the Manhattan distance that normalizes differences by the sum of absolute values. Introduced by Geoffrey Lance and William Williams in 1967 as part of their work on clustering classification methods, this metric emphasizes differences in small values and is sensitive to changes in relative proportions. It is commonly used in taxonomy, ecology, decision-making, and any application where normalized relative differences matter. | 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. |
| ScholarGateSet de date ↗ |
|
|
|