scholarly journals Complete Linkage Cluster Analysis

2020 ◽  
Author(s):  
Keyword(s):  
Cluster Analysis ◽  
Complete Linkage ◽  
Linkage Cluster ◽  
Complete Linkage Cluster

Craniofacial Form in Class III Cases

1992 ◽  
Vol 19 (1) ◽  
pp. 15-20 ◽  
Author(s):  
Frances Mackay ◽  
J. A. H. Jones ◽  
Robin Thompson ◽  
W. Simpson
Keyword(s):  
Cluster Analysis ◽  
Surgical Correction ◽  
Class Iii ◽  
Class Iii Malocclusion ◽  
Lower Face ◽  
Complete Linkage ◽  
Mandibular Prognathism ◽  
Skull Shape ◽  
Linkage Cluster ◽  
Complete Linkage Cluster

Lateral skull cephalograms from 50 patients who subsequently had surgical correction of their Class III malocclusion were analysed using a complete linkage cluster analysis based on skull shape. Five subgroups Were identified and are described. All subjects had a degree of mandibular prognathism while only 14 per cent had maxillary retrognathism. An increased lower face height was found in 58 per cent.

Cluster and Principal Components Analyses of the Group Embedded-Figures Test

1982 ◽  
Vol 54 (1) ◽  
pp. 331-336 ◽  
Author(s):  
Robert Loo
Keyword(s):  
Cluster Analysis ◽  
Principal Components ◽  
Embedded Figures Test ◽  
Item Position ◽  
Embedded Figures ◽  
Components Analysis ◽  
Group Embedded Figures Test ◽  
Form Type ◽  
Linkage Cluster ◽  
Complete Linkage Cluster

The structure of the Group Embedded-figures Test was examined. Data from 173 females and 93 males were subjected to Johnson's complete-linkage cluster analysis and principal components analysis. The results showed the importance of simple form type especially Form E, the cube, and of item position. Recommendations for the future study of the structure of embedded-figures tests were presented.

Genetic Diversity Assessment in Dolichos Bean (Lablab purpureus L.) Based on Principal Component Analysis and Single Linkage Cluster Analysis

2021 ◽  
Author(s):  
S.R. Singh ◽  
S. Rajan ◽  
Dinesh Kumar ◽  
V.K. Soni
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Single Linkage ◽  
Pod Yield ◽  
Diversity Assessment ◽  
Single Linkage Cluster ◽  
Linkage Cluster

Background: Dolichos bean occupies a unique position among the legume vegetables of Indian origin for its high nutritive value and wider climatic adaptability. Despite its wide genetic diversity, no much effort has been undertaken towards genetic improvement of this vegetable crop. Knowledge on genetic variability is an essential pre-requisite as hybrid between two diverse parental lines generates broad spectrum of variability in segregating population. The current study aims to assess the genetic diversity in dolichos genotypes to make an effective selection for yield improvement.Methods: Twenty genotypes collected from different regions were evaluated during year 2016-17 and 2017-18. Data on twelve quantitative traits was analysed using principal component analysis and single linkage cluster analysis for estimation of genetic diversity.Result: Principal component analysis revealed that first five principal components possessed Eigen value greater than 1, cumulatively contributed greater than 82.53% of total variability. The characters positively contributing towards PC-I to PC-V may be considered for dolichos improvement programme as they are major traits involved in genetic variation of pod yield. All genotypes were grouped into three clusters showing non parallelism between geographic and genetic diversity. Cluster-I was best for earliness and number of cluster/plant. Cluster-II for vine length, per cent fruit set, pod length, pod width, pod weight and number of seed /pod, cluster III for number of pods/cluster and pod yield /plant. Selection of parent genotypes from divergent cluster and component having more than one positive trait of interest for hybridization is likely to give better progenies for development of high yielding varieties in Dolichos bean.

Étude des relations entre les communautés piscicoles et les différents habitats d'une rivière nordique: notion d'habitat optimal

1982 ◽  
Vol 60 (12) ◽  
pp. 3344-3352
Author(s):  
Louise Savard ◽  
Guy Moreau
Keyword(s):  
Relative Abundance ◽  
Condition Factor ◽  
Northern Pike ◽  
Abundant Species ◽  
The Other ◽  
Coregonus Clupeaformis ◽  
Habitat Types ◽  
Linkage Cluster ◽  
Complete Linkage Cluster ◽  
Satellite Species

A complete linkage cluster analysis using the physical characteristics of the sampling sites has revealed the existence of five groups corresponding to five habitat types nonequally distributed in a northern Quebec river. According to the results of discriminant analysis using the relative abundance of the fish species present, these habitats support populations which differ by the relative abundance of species and not by the presence or absence of some particular species. A habitat is first characterized by a species living preferentially in this habitat, then by the other species inhabiting the area in an opportunistic way, and finally by some satellite species which do not seem to have any marked requirements. A habitat is considered as optimal for a species first if this species inhabits this area preferentially to others and secondly if this use is more advantageous for growth or condition factor. This seems to be confirmed for two of the most abundant species, northern pike (Esox lucius) and lake whitefish (Coregonus clupeaformis), both of which have a higher condition factor and a better growth in the part of the river where their optimal habitat is more frequently found.

Cluster analysis of late Holocene pollen trends in Ontario

1991 ◽  
Vol 69 (8) ◽  
pp. 1719-1730 ◽  
Author(s):  
Ian D. Campbell ◽  
J. H. McAndrews
Keyword(s):  
Cluster Analysis ◽  
Geometric Mean ◽  
Ice Age ◽  
White Pine ◽  
Single Linkage ◽  
Complete Linkage ◽  
Similarity Indices ◽  
Species Abundances ◽  
Climatic Cooling ◽  
Past 1000 Years

Cluster analysis of Ontario pollen stratigraphies demonstrates similar regional successions during the past 1000 years. Seven character states qualitatively describe the behaviour of the pollen percentage trends for each taxon: 0, absent; 1, present with no visible trend but high noise; 2, rising through time; 3, falling through time; 4, rise–fall; 5, fall–rise; and 6, stable through time. The three similarity indices (S) used were of the form S equals the number of characters in agreement divided by the number of informative characters. The three clustering techniques used are single linkage, complete linkage, and unpaired weighted geometric mean analysis. Single linkage and unpaired weighted geometric mean analysis showed a north–south division with all three indices; complete linkage showed only rare local groupings with all three indices. The division between the two clusters falls just south of Lake Nipissing. All successions indicate climatic cooling; the clusters reflect southward movement of the centres of species abundances, particularly white pine. The method identifies regions of similar vegetation dynamics. Key words: cluster analysis, forest dynamics, Holocene, Little Ice Age, Ontario, palynology.

scholarly journals Consumer Preferences for Longevity Information and Guarantees on Cut Flower Arrangements

HortScience ◽  
2014 ◽  
Vol 49 (6) ◽  
pp. 769-778 ◽  
Author(s):  
Alicia L. Rihn ◽  
Chengyan Yue ◽  
Charles Hall ◽  
Bridget K. Behe
Keyword(s):  
Cluster Analysis ◽  
Choice Experiment ◽  
Consumer Preferences ◽  
Value Added ◽  
Single Species ◽  
Market Potential ◽  
Vase Life ◽  
Cut Flower ◽  
Cut Flowers ◽  
Linkage Cluster

Choice experiments were conducted to explore the market potential or value added when using longevity information and guarantees on cut flower arrangements in the retail setting. The objective of our study was to determine consumer preferences and willingness to pay for different vase life longevities and guarantees on cut flower arrangements. The choice experiment data were collected using online surveys with 525 U.S. consumers in July 2011. The choice experiment scenarios included single species or mixed species cut flower arrangements with varying vase life longevity (5 to 7 days, 8 to 10 days, 11 to 14 days), presence or absence of vase life longevity guarantee, personal or gift use, and price range ($7.99 to $11.99, $34.99 to $43.99). Two types of arrangements were used in the experiment, mixed arrangements consisting of different species of cut flowers and single-species arrangements consisting of six red roses plus a filler flower. We analyzed the data with a mixed logit model and Ward’s linkage cluster analysis. As expected, participants were willing to pay higher prices for cut flower arrangements with longer vase life longevity. The presence of a guarantee improved participants’ probability of selecting the corresponding cut flower arrangement. Using Ward’s linkage cluster analysis, we found there were three distinct consumer clusters: guarantee seekers (49% of the sample), value-conscious consumers (31%), and spenders (20%). Among the three clusters, guarantee seekers were more likely to select cut flower arrangements with guarantees. Value-conscious consumers were interested in both guarantees and longevity indicators. Spenders were least interested in longevity indicators and guarantees. We conclude floral retailers could successfully implement the use of longevity indicators and guarantees to increase consumer interest in cut flowers and generate profits. Target marketing strategies could then be developed by floral retailers to attract different consumer clusters.

scholarly journals Diversity of milk traits in 25 goat breeds

2022 ◽  
Vol 335 ◽  
pp. 00009
Author(s):  
Ferdy Saputra ◽  
Anneke Anggraeni
Keyword(s):  
Cluster Analysis ◽  
Protein Content ◽  
Statistical Approach ◽  
Fat Content ◽  
High Fat ◽  
Milk Traits ◽  
Preference Analysis ◽  
Average Linkage ◽  
Linkage Cluster ◽  
Relationship Of

Goats are livestock that is mostly raised by small farmers in Indonesia because they are easier to raise. Apart from having the potential to become meat, several breeds of which are kept as milk-purpose. Milk traits of each breed differ from one another. Therefore, this study tried to observe genetic differences of 25 goat breeds with statistical approach. Information about milk traits from 25 goat breeds is obtained from published journal. Multidimensional preference analysis and average linkage cluster analysis were performed using SAS 9.4 to determine the differences in goat breeds from three traits, namely milk yield, fat content, and protein content. Multidimensional preference analysis was able to see the advantages of breeds from the three observed traits. Goat breeds with superior milk yields are Saanen, Camosciata delle Alpi, and Charmoisée. Sarda Primitiva, Sarda, Etawah Grade have high fat content in milk. In addition, Arsi-Bale and Somali have high protein content. Average linkage cluster analysis is able to observe the genetic relationship of goat breeds based on three traits. According to average linkage cluster analysis, we found four clusters for goat breeds in this study. With existing statistical approaches, we can evaluate genetic diversity in milk traits.

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