Clustering with dendrograms on interpretation variables

Forina, Michele; Armanino, Carla; Raggio, V

doi:10.1016/s0003-2670(01)01517-3

Cited by 135 publications

(78 citation statements)

References 3 publications

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“…CA uses the information obtained from the measured variables to reveal the natural clusters existing between the studied samples [22]. The dendrogram shows (Fig.…”

Section: Resultsmentioning

confidence: 99%

Chemometrics on Microchips: Towards the Classification of Wines

et al. 2005

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The coupling of a capillary electrophoresis (CE) microchip with electrochemical detection with a chemometric approach was used for the classification of wines. Cabernet Sauvignon wine samples from 3 different geographical regions were used for verifying the discriminating power of the microchip electrophoretic technique using high separation voltage (3000 V) with analysis time of only 60 seconds. Electrophoretic data were transformed into initial 14 variables, concerning peaks area and peaks height. Principal component analysis was applied to optimize the information given by the electrophoretic data sets. Results of classification using LDA and CART were promising and the preliminary model was able to classify samples on the basis of their geographical origin. While the coupling of microchips with chemometrics approaches is illustrated for a former tentative of the classification of wines it could be readily extended to a wide range of other important applications.

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“…CA uses the information obtained from the measured variables to reveal the natural clusters existing between the studied samples [22]. The dendrogram shows (Fig.…”

Section: Resultsmentioning

confidence: 99%

Chemometrics on Microchips: Towards the Classification of Wines

et al. 2005

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“…Ward's method using euclidean distances as a measure of similarity (Willet 1987;Adams 1998;Otto 1998) within HACA has proved to be a very efficient method. The result is illustrated by a dendogram, presenting the clusters and their proximity (Forina et al 2002). The euclidean distance (linkage distance) is reported as D link /D max , which represents the quotient between the linkage distance divided by the maximal distance.…”

Section: The Data and Monitoring Sitesmentioning

confidence: 99%

Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques

Juahir

Zain

Yusoff

et al. 2010

Environ Monit Assess

289

196

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This study investigates the spatial water quality pattern of seven stations located along the main Langat River. Environmetric methods, namely, the hierarchical agglomerative cluster analysis (HACA), the discriminant analysis (DA), the principal component analysis (PCA), and the factor analysis (FA), were used to study the spatial variations of the most significant water quality variables and to determine the origin of pollution sources. Twenty-three water quality parameters were initially selected and analyzed. Three spatial clusters were formed based on HACA. These clusters are designated as downstream of Langat river, middle stream of Langat river, and upstream of Langat River regions. Forward and backward stepwise DA managed to discriminate six and seven water quality variables, respectively, from the original 23 variables. PCA and FA (varimax functionality) were used to investigate the origin of each water quality variable due to land use activities based on the three clustered regions. Seven principal components (PCs) were obtained with 81% total variation for the high-pollution source (HPS) region, while six PCs with 71% and 79% total variances were obtained for the moderatepollution source (MPS) and low-pollution source (LPS) regions, respectively. The pollution sources for the HPS and MPS are of anthropogenic sources (industrial, municipal waste, and agricultural runoff). For the LPS region, the domestic and agricultural runoffs are the main sources of pollution. From this study, we can conclude that the application of environmetric methods can reveal meaningful information on the spatial variability of a large and complex river water quality data.

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“…The finding is clarified by a dendogram, giving the clusters and their closeness. 20 However, the Euclidean distance is reported as Dlink/D max , which represents the quotient between the linkages distances alienated by the highest distance. The quotient is commonly multiplied by 100 as a way to standardizing the linkage distance signified by the y-axis.…”

Section: Resultsmentioning

confidence: 99%

Multi-Hierarchical Pattern Recognition of Athlete’s Relative Performance as A Criterion for Predicting Potential Athletes

Abdullah¹,

Maliki²,

Musa³

et al. 2016

JYP

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Nonetheless, research that integrates physical fitness and goal orientation as a relative performance and uses them as a criterion predictor in the selection of potential athletes are considerably limited. Thus, this study aims to examine the relative performance quality pattern of 223 male athletes that trains under Terengganu sports development program in relation to physical fitness and psychological components. MATERIALS AND METHODS Participants:The participants of the current study comprised of 223 male adolescent athletes (17.38 ± 1.92 years). The participants were recruited from the interstate championship with various types of sports from Terengganu state in Malaysia. These athletes represented their corresponding divisions in the competition and were reflected the best at the state level for the under 21 year's age groups. These age groups were chosen because of research suggesting that participation motives and achievement behavior changes around this age. 10 The measurements were carried out in the first three months of 2015. The coaches and the managers of the athletes were informed about the purpose of the research. Writing approval was obtained, and all the players signed consent forms. Procedure of Battery Tests: Anthropometric Test: Standard anthropometric testing was conducted which constitutes of height and weight with the subjects dressed in light clothing. Height was measured with a wallmounted wooden stadiometer to the nearest 0.5 cm. Body weight was evaluated with a standardized electronic digital scale to the nearest 0.1 kg. Body mass index (BMI) was measured as body mass in kilograms ABSTRACTObjective: This study investigates the relative performance quality pattern of athletes that trains under Terengganu sports development program based on physical fitness and psychological components. Methods: Relative performance data (223×7) were obtained from various types of sport, and its main tributaries were evaluated for physical fitness and TEOSQ instrument. Multivariate methods of hierarchical agglomerative cluster analysis (HACA), discriminant analysis (DA), principal component analysis (PCA), and principal factor analysis (PFA), were used to study the relative performance variations of the most significant performance quality variables and to determine the origin of relative performance components. Results: Three clusters of performance were shaped in view of HACA. Forward and backward stepwise DA discriminates six and five performance quality variables from the first seven variables. PCA and FA were used to identify the origin of each quality performance variables based on three clustered groups. Three PCs were obtained with 67% total variation for the highperformance group (HPG) region, three PCs with 72% and 64% total variances were obtained for the moderate-performance group (MPG) and low-performance group (LPG) regions, respectively. The general performance sources for the three groups are from cardiovascular and ego orientation sources. The differences between groups are from flexibi...

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Clustering with dendrograms on interpretation variables

Cited by 135 publications

References 3 publications

Chemometrics on Microchips: Towards the Classification of Wines

Chemometrics on Microchips: Towards the Classification of Wines

Spatial water quality assessment of Langat River Basin (Malaysia) using environmetric techniques

Multi-Hierarchical Pattern Recognition of Athlete’s Relative Performance as A Criterion for Predicting Potential Athletes

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