نتایج جستجو برای: jaccard similarity coefficient
تعداد نتایج: 274076 فیلتر نتایج به سال:
Wildfire simulations depend on fuel representation. Present models are mainly based the density and properties of different vegetation types. This study aims to improve accuracy WRF-Fire wildfire simulations, by using synthetic-aperture radar (SAR) data estimate load trend index dryness woody vegetation. We updated chaparral timber standard classes in settings. used ESA global above-ground biom...
This study evaluated six segmentation methods (clustering, flood-fill, graph-cut, colour-thresholding, watershed, and Otsu’s-thresholding) for accuracy classification in discriminating Fusarium infected corn grains using RGB colour images. The was calculated Jaccard similarity index Dice coefficient comparison with the gold standard (manual method). Flood-fill graph-cut showed highest of 77% 87...
One of the most well-known binary (discrete) versions of the artificial bee colony algorithm is the similarity measure based discrete artificial bee colony, which was first proposed to deal with the uncapacited facility location (UFLP) problem. The discrete artificial bee colony simply depends on measuring the similarity between the binary vectors through Jaccard coefficient. Although it is acc...
The results of codependency analysis 9 qualitative and 4 quantitative measures plant communities homotoneity with statuses their naturalness based on the application indicator value scale hemeroby tolerance South Siberian plants are presented. highest correlation level was performed by multiplace measure similarity Jaccard.
Determining true genetic dissimilarity between individuals is an important and decisive point for clustering and analysing diversity within and among populations, because different dissimilarity indices may yield conflicting outcomes. We show that there are no acceptable universal approaches to assessing the dissimilarity between individuals with molecular markers. Different measures are releva...
In this paper, we investigate algorithms for finding centers of a given collection $$\mathcal N$$ sets. particular, focus on metric rational set similarities, broad class similarity measures including Jaccard and Hamming. A S is called if $$D=1-S$$ distance function. We study the 1-center problem these spaces. The consists C that minimizes maximum to any . present general framework computes $$(...
Five different similarity coefficients (Jaccard, Sorensen-Dice, simple matching, Rogers and Tanimoto, and Russel and Rao) were evaluated and 10 wild olives analyzed with RAPD markers. The influence of the similarity coefficients on wild olives clustering was investigated. Forty-five primers were used on samples from 10 wild olives (Wild 1 and 2 obtained from Mugla province; Wild 3, 4, 5, 6, 7, ...
It is becoming increasingly clear among biometric research fraternity that Ear as a biometric articulation in human beings provides exclusive and unique advantages when compared with other kinds. In this paper, we present a person identification system which is based on clustering of ears. For the development of the system, a database of 605 ear images was considered. Shape based biometric feat...
synthetic plants as well as wild crop species are valuable genetic resourses. to determine the genetic variation in triticale, tritipyrum as well as wheat lines, genomic dna of this amphiploid including thinopyrum bessarabicum and durum wheat were amplified using 32 random and 22 semi random primers. primers that could produce clear, polymorphic and repetitive bands are used for determination o...
Abstract Determination of genetic diversity level is important in clarifying genetic relationships, characterizing germplasm and the registration of new cultivars. In this study, genetic variation among 56 accessions (G1~G56) of Citrus including several undefined local or native genotypes and some known varieties in Jiroft, Kerman province, Iran was investigated using SSR markers. In total, 12 ...
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