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hierarchical cluster analysis (HCA)

Hierarchical Cluster Analysis Histogram Thresholding with Local Minima

Hierarchical Cluster Analysis Histogram Thresholding with Local Minima

... using hierarchical cluster analysis"/HCA/ and "A nonparametric approach for histogram ...segmentation"/NHS/. HCA method uses that all histogram bins are one cluster ...

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Comparison of hierarchical cluster analysis methods by cophenetic correlation

Comparison of hierarchical cluster analysis methods by cophenetic correlation

... Cluster analysis is a multivariate statistical technique which was originally developed for biological ...that cluster analysis could be utilized to efficiently classification a data set which ...

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Integrated chemometric fingerprints of antioxidant activities and HPLC–DAD–CL for assessing the quality of the processed roots of Polygonum multiflorum Thunb. (Heshouwu)

Integrated chemometric fingerprints of antioxidant activities and HPLC–DAD–CL for assessing the quality of the processed roots of Polygonum multiflorum Thunb. (Heshouwu)

... Hierarchical cluster analysis (HCA) was performed by SPSS statistics software (SPSS for Windows ...PCA analysis of the fingerprint data of processed HSW was performed using SIMCA-P ...

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Computational and Chemometrics study of molecular descriptors for butene derivates by Density functional theory (DFT)

Computational and Chemometrics study of molecular descriptors for butene derivates by Density functional theory (DFT)

... component analysis (PCA) and hierarchical cluster analysis (HCA), have been employed with the aim of selecting the variables responsible for reactivity and to describe properly the ...

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MULTIVARIATE STATISTICS OF FERTILITY PARAMETER FLUXES IN CEMENT-DUST-POLLUTED SOILS IN MFAMOSING, NIGERIA: IMPACT ON AGRICULTURE

MULTIVARIATE STATISTICS OF FERTILITY PARAMETER FLUXES IN CEMENT-DUST-POLLUTED SOILS IN MFAMOSING, NIGERIA: IMPACT ON AGRICULTURE

... component analysis (PCA) extracted two principal components, PC1 and PC2, from the nine dependent variables (DVs) which explained ...of hierarchical cluster analysis (HCA) which ...

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Spatial Variability of Ground Water Quality Using HCA, PCA and MANOVA at Lawspet, Puducherry in India

Spatial Variability of Ground Water Quality Using HCA, PCA and MANOVA at Lawspet, Puducherry in India

... like Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA), Factor Analysis (FA) and Multivariate Analysis of Variance (MANOVA) were employed to evaluate ...

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CORRELATION BETWEEN THE CHEMOTAXONOMIC CLASSIFICATIONS OF THE ESSENTIAL OILS OF 48 SPECIES HARVESTED FROM TUNISIA Eucalyptus AND THEIR PHYLOGENETIC CLASSIFICATION

CORRELATION BETWEEN THE CHEMOTAXONOMIC CLASSIFICATIONS OF THE ESSENTIAL OILS OF 48 SPECIES HARVESTED FROM TUNISIA Eucalyptus AND THEIR PHYLOGENETIC CLASSIFICATION

... Average twenty-five compounds were detected from each oil sample at a concentration greater than 4.4%. The differences in their mean percentages were analysed using Duncan's Multiple Range. These compounds were also ...

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Comparative Analysis of Volatile Compounds of

Comparative Analysis of Volatile Compounds of

... Hierarchical cluster analysis categorized the 12 rose mutant genotypes and six original cultivars 223. according to their volatile compound similarities[r] ...

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Multivariate Analysis Of Ground Water Characteristics Of Geological Formations Of Enugu State Of Nigeria

Multivariate Analysis Of Ground Water Characteristics Of Geological Formations Of Enugu State Of Nigeria

... factor analysis (PFA), and hierarchical cluster analysis (CA), was employed to evaluate, and to examine the borehole characteristics of geological formations of Enugu State of Nigeria to ...

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Multivariate Statistical Analysis for the Assessment of Hydrogeochemistry of Groundwater in Upper Kambo Watershed (Douala Cameroon)

Multivariate Statistical Analysis for the Assessment of Hydrogeochemistry of Groundwater in Upper Kambo Watershed (Douala Cameroon)

... possible contributing factors in the waters samples hydrochemistry [14] [29]. Hierarchical Cluster Analysis was used to classify the samples into distinct hydrochemical groups. The Ward’s linkage ...

14

What curriculum for mobility and transport studies? a critical exploration

What curriculum for mobility and transport studies? a critical exploration

... respondents cluster in groups when a hierarchical cluster analysis is performed using the following three variables: (1) mean and (2) standard deviation of the rates given by each respondent ...

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Identifying Pathfinder Elements for Gold in Multi Element Soil Geochemical Data from the Wa Lawra Belt, Northwest Ghana: A Multivariate Statistical Approach

Identifying Pathfinder Elements for Gold in Multi Element Soil Geochemical Data from the Wa Lawra Belt, Northwest Ghana: A Multivariate Statistical Approach

... factor analysis and hierarchical cluster analysis to historical multi-element soil geochemi- cal data from the Koda Hill-Bulenga area in Wa-Lawra belt of Ghana showed that, gold was associated ...

9

An evidence based soundscape taxonomy

An evidence based soundscape taxonomy

... the hierarchical cluster analysis are displayed in Figure 1, and also as a dendro- gram in Figure ...in Cluster 1, ten in Clus- ter 2, five in Cluster 3, eight in Cluster 4, and ...

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Classification and Identification of Enterococci: a Comparative Phenotypic, Genotypic, and Vibrational Spectroscopic Study

Classification and Identification of Enterococci: a Comparative Phenotypic, Genotypic, and Vibrational Spectroscopic Study

... with hierarchical cluster analysis revealed discrepancies for certain strains when compared with results obtained from automated phenotypic systems, such as API and ...

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A Clustering Based Location-allocation Problem Considering Transportation Costs and Statistical Properties (RESEARCH NOTE)

A Clustering Based Location-allocation Problem Considering Transportation Costs and Statistical Properties (RESEARCH NOTE)

... Cluster analysis is a useful technique in multivariate statistical ...of hierarchical cluster analysis and K-means have been used for data analysis in previous ...clustering ...

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THE PRESENT STATUS OF SUSTAINABILITY CONCEPT IMPLEMENTATION BY BUSINESSES IN SELECTED INDUSTRIES IN THE SLOVAK REPUBLIC

THE PRESENT STATUS OF SUSTAINABILITY CONCEPT IMPLEMENTATION BY BUSINESSES IN SELECTED INDUSTRIES IN THE SLOVAK REPUBLIC

... the analysis of sustainability concept implementation by businesses in selected industries, to identify the underlying motives and barriers to concept implementation in ...a hierarchical cluster ...

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Associations between systemic inflammation, mycobacterial loads in sputum and radiological improvement after treatment initiation in pulmonary TB patients from Brazil: a prospective cohort study

Associations between systemic inflammation, mycobacterial loads in sputum and radiological improvement after treatment initiation in pulmonary TB patients from Brazil: a prospective cohort study

... a hierarchical cluster analysis of the serum levels of the inflammatory markers as well as values of ESR in patients stratified by acid-fast bacilli (AFB) smear grade at ...

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Simultaneous quantification of six major flavonoids from Fructus sophorae by LC-ESI-MS/MS and statistical analysis

Simultaneous quantification of six major flavonoids from Fructus sophorae by LC-ESI-MS/MS and statistical analysis

... HCA was performed on the analytical data of all the 30 samples. The clustering results illustrated as a dendrogram are presented in fig. 5. Thirty tested Fructus sophorae samples could be successfully grouped into ...

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Index Terms - Energy-Efficiency, Hierarchy-Based Cluster, Network Life-span, Residual Energy, Restricted Areas, Wireless Sensor

Index Terms - Energy-Efficiency, Hierarchy-Based Cluster, Network Life-span, Residual Energy, Restricted Areas, Wireless Sensor

... of cluster heads in the middle of each partition were defined to aggregate data from cluster members and transmit these data to cluster heads in the next hierarchical ...of hierarchical ...

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Experiments on the Automatic Induction of German Semantic Verb Classes

Experiments on the Automatic Induction of German Semantic Verb Classes

... to determine a more flexible choice of selectional preferences. (5) With respect to a large-scale classification of verbs, it will be interesting to apply classification techniques to the verb data. This would require ...

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