scholarly journals Genetic divergence of Oblacinska sour cherry (Prunus cerasus L.) clones

Genetika ◽  
2005 ◽  
Vol 37 (3) ◽  
pp. 191-198 ◽  
Author(s):  
Dragan Nikolic ◽  
Vera Rakonjac ◽  
Momcilo Milutinovic ◽  
Milica Fotiric
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Genetic Divergence ◽  
Euclidean Distance ◽  
Sour Cherry ◽  
Hierarchical Cluster ◽  
Prunus Cerasus ◽  
The Difference

Based on examination of 10 important pomologic and technologic properties, genetic divergence of 10 selected Oblacinska sour cherry clones was established. The genetic divergence between the analyzed clones was determined using the hierarchical cluster analysis. The UPGA method was used and the Euclidean distance in order to determine the difference between the groups. Four similar clone groups were obtained on the dendrogram. The objective of clone differentiation was primarily yield, although other properties were taken into account as well. As the most yielded clones for the production, that can be recommended, were clone D8 or clone D4 that are genetically very similar, and clone D3.

Temporal adverbials and the present perfect/past tense alternation

2013 ◽  
Vol 34 (2) ◽  
pp. 202-240 ◽  
Author(s):  
Valentin Werner
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Phylogenetic Networks ◽  
Past Tense ◽  
Present Perfect ◽  
British English ◽  
Cultural Proximity ◽  
Corpus Data ◽  
The Difference

Specification by certain temporal adverbials has been shown to be one of the typical triggers of the present perfect in British English. Often, however, L2 varieties display different patterns of temporal co-occurrence, especially using the simple past tense. This study is based on corpus data from twelve components of the International Corpus of English and analyzes the distribution between present perfect and past tense for a number of co-occurring temporal adverbials. In addition, it establishes three measures of similarity across the varieties (hierarchical cluster analysis, phylogenetic networks and a distribution-based measure). On the basis of 6 353 adverbials in total, this paper suggests (1) that there is a L1–L2 divide, (2) that the difference between “traditional” and “transplanted” L1 varieties is less pronounced, (3) that L2 varieties allow more variation, which indicates that in these varieties, the present perfect is partly used as a tense (sensu Quirk et al. 1985), and (4) that some temporal adverbials are less categorically attached to either present perfect or past tense than others. Finally, some conclusions with regard to the importance of geographical and socio-cultural proximity of certain varieties can be drawn.

scholarly journals Hierarchical Cluster Analysis of a Convection-Allowing Ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part I: Development of the Object-Oriented Cluster Analysis Method for Precipitation Fields

2011 ◽  
Vol 139 (12) ◽  
pp. 3673-3693 ◽  
Author(s):  
Aaron Johnson ◽  
Xuguang Wang ◽  
Fanyou Kong ◽  
Ming Xue
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Euclidean Distance ◽  
Subjective Evaluation ◽  
Precipitation Amount ◽  
Object Oriented ◽  
Hierarchical Cluster ◽  
Spatial Location ◽  
Ensemble Forecasts ◽  
Hazardous Weather

Abstract Convection-allowing ensemble forecasts with perturbations to model physics, dynamics, and initial (IC) and lateral boundary conditions (LBC) generated by the Center for the Analysis and Prediction of Storms for the NOAA Hazardous Weather Testbed (HWT) Spring Experiments provide a unique opportunity to understand the relative impact of different sources of perturbation on convection-allowing ensemble diversity. Such impacts are explored in this two-part study through an object-oriented hierarchical cluster analysis (HCA) technique. In this paper, an object-oriented HCA algorithm, where the dissimilarity of precipitation forecasts is quantified with a nontraditional object-based threat score (OTS), is developed. The advantages of OTS-based HCA relative to HCA using traditional Euclidean distance and neighborhood probability-based Euclidean distance (NED) as dissimilarity measures are illustrated by hourly accumulated precipitation ensemble forecasts during a representative severe weather event. Clusters based on OTS and NED are more consistent with subjective evaluation than clusters based on traditional Euclidean distance because of the sensitivity of Euclidean distance to small spatial displacements. OTS improves the clustering further compared to NED. Only OTS accounts for important features of precipitation areas, such as shape, size, and orientation, and OTS is less sensitive than NED to precise spatial location and precipitation amount. OTS is further improved by using a fuzzy matching method. Application of OTS-based HCA for regional subdomains is also introduced. Part II uses the HCA method developed in this paper to explore systematic clustering of the convection-allowing ensemble during the full 2009 HWT Spring Experiment period.

scholarly journals The cluster analysis of clones obtained from authochthonous cultivar Kreaca (Vitis vinifera L.)

Genetika ◽  
2010 ◽  
Vol 42 (3) ◽  
pp. 415-424 ◽  
Author(s):  
Vera Rakonjac ◽  
Slavica Todic ◽  
Zoran Beslic ◽  
Nada Korac ◽  
Nebojsa Markovic
Keyword(s):  
Cluster Analysis ◽  
Euclidean Distance ◽  
Sugar Content ◽  
Hierarchical Cluster ◽  
Vitis Vinifera L ◽  
Total Acid ◽  
Grapevine Cultivar ◽  
Weight Yield ◽  
Acid Ratio ◽  
The Difference

The purpose of this paper was to characterize the clones obtained from Kreaca, autochthonous grapevine cultivar of Banat. Based on examination of 6 important biological and technological properties, phenotypic and genetic divergence of 28 selected clones was established. The divergence was determined using ANOVA and hierarchical cluster analysis. Using variance analysis, for grape weight, yield, total acid content, sugar content and sugar/acid ratio very significant or significant differences were obtained between clones. The UPGA method was used and the Euclidean distance in order to determine the difference between the groups. Two clone groups were obtained on the dendrogram. The objective of clone differentiation was primarily cluster weight, although other properties were taken into account as well. As the most perspective clones for further investigation and production, that can be recommended, were clones 12/5/5, 56/11/7 and 69/11/7.

Extraordinary circumstances: Covid-19 – Italian Serie A scenario

2021 ◽  
pp. 175433712110192
Author(s):  
Milan Radojicic ◽  
Aleksandar Djokovic ◽  
Nikola Cvetkovic
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Round Robin ◽  
The Past ◽  
Novel Approach ◽  
Round Robin Tournaments

Unpredictable and uncontrollable situations have happened throughout history. Inevitably, such situations have an impact on various spheres of life. The coronavirus disease 2019 has affected many of them, including sports. The ban on social gatherings has caused the cancellation of many sports competitions. This paper proposes a methodology based on hierarchical cluster analysis (HCA) that can be applied when a need occurs to end an interrupted tournament and the conditions for playing the remaining matches are far from ideal. The proposed methodology is based on how to conclude the season for Serie A, a top-division football league in Italy. The analysis showed that it is reasonable to play 14 instead of the 124 remaining matches of the 2019–2020 season to conclude the championship. The proposed methodology was tested on the past 10 seasons of the Serie A, and its effectiveness was confirmed. This novel approach can be used in any other sport where round-robin tournaments exist.

scholarly journals Detection of drought events in Greece using daily precipitation

2010 ◽  
Vol 41 (2) ◽  
pp. 126-133 ◽  
Author(s):  
N. Kalamaras ◽  
H. Michalopoulou ◽  
H. R. Byun
Keyword(s):  
Cluster Analysis ◽  
Hierarchical Cluster Analysis ◽  
Daily Precipitation ◽  
Hierarchical Cluster ◽  
Seasonal Distribution ◽  
Drought Severity ◽  
Severe Drought ◽  
Analysis Method ◽  
Cluster Analysis Method ◽  
Insight Into

In this study a method proposed by Byun & Wilhite, which estimates drought severity and duration using daily precipitation values, is applied to data from stations at different locations in Greece. Subsequently, a series of indices is calculated to facilitate the detection of drought events at these sites. The results provide insight into the trend of drought severity in the region. In addition, the seasonal distribution of days with moderate and severe drought is examined. Finally, the Hierarchical Cluster Analysis method is used to identify sites with similar drought features.

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