hierarchical cluster analysis
Antisocial behavior: Dimension or category(ies)?
... of hierarchical cluster analysis: Psychopathic type (characterized by high positive scores on dimension of Unemotionality; Antisocial type (characterized by high positive scores on Social deviance ...
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Rev. bras. farmacogn. vol.20 número1
... data analysis using principal component analysis (PCA) and hierarchical cluster analysis (HCA) ...component analysis of pyrolysis data from samples of different brands was able ...
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Assessment of the water quality in a large reservoir in semiarid region of Brazil
... employing hierarchical cluster analysis of the variables that were significant in explaining the total variance of the data (Table ...using cluster analysis (CA) depends on the greater ...
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CARACTERIZAÇÃO MORFOLÓGICA DE ASTRÓCITOS DA FORMAÇÃO HIPOCAMPAL DE MAÇARICOS DA ESPÉCIE
... using hierarchical cluster analysis to classify cells and discovered two different morphological phenotypes, which were differentially affected by the long-distance non-stop transatlantic ...
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Identifying Reference Objects by Hierarchical Clustering in Java Environment
... Recently Java programming environment has become so popular. Java programming language is a language that is designed to be portable enough to be executed in wide range of computers ranging from cell phones to ...
6
Unique proteomic signatures distinguish macrophages and dendritic cells.
... LC-MS/MS analysis of eMPCs were subjected to hierarchical cluster analysis, using the 107 proteins identified as differentially expressed by myeloid cells generated in vitro ...cytometric ...
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Eficiência de absorção e utilização de fósforo por cultivares de algodão em um solo de Cerrado (Latossolo Vermelho Amarelo)
... 3). Hierarchical cluster analysis divided the cotton cultivars into three clusters, according to their efficient absorption of low plant-available P, as measured by their DWS, [P], and PU (the cutoff ...
9
Diversity of Iberian nucleopolyhedrovirus wild-type isolates infecting Helicoverpa armigera (Lepidoptera: Noctuidae)
... the cluster analysis presented here was based on ...from hierarchical cluster analysis of the Iberian Helicoverpa armigera nucleopolyhedrovirus (HearNPV) identified strains [HearSP1 ...
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Fuzzy approach to discrete data reduction: an application in economics for assessing the skill premium
... components analysis (Green 1998; Ashton et ...of cluster analysis for data reduction in the case of discrete ...cal cluster analysis applied to ...data analysis underlies the ...
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Gene expression profiles of metabolic aggressiveness and tumor recurrence in benign meningioma.
... Unsupervised hierarchical cluster analysis of benign and atypical meningioma using genes differentially expressed between benignA and benignB meningioma subgroups (left, 59 genes) and benignA and ...
11
Maria Gabriela Campolina Diniz Peixoto
... correlation analysis in this study, in which higher correlations were observed between measures of the first two-thirds of ...by hierarchical cluster analysis indicated the existence of ...
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Análise multivariada de dados geoquímicos aplicada à exploração mineral de ouro : estudo de caso no distrito aurífero de Almas, TO, Brasil
... alteration. Hierarchical cluster analysis was able to correctly distinguish mafic/ultramafic from non-mafic/ultramafic influenced ...K-means cluster analysis of a sub-dataset composed ...
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Human protein cluster analysis using amino acid frequencies.
... The paper focuses on the development of a software tool for protein clustering according to their amino acid content. All known human proteins were clustered according to the relative frequencies of their amino acids ...
5
José do Patrocinio Hora Alves1 , Lucas Cruz Fonseca2 , Raisa de Siqueira Alves Chielle
... This study evaluated the efficiency of the water quality monitoring network of the Sergipe river basin, using multivariate data analysis, such as principal component analysis (PCA) and hierarchical ...
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Wessex California JF Santos et al 2011(en)
... component analysis (PCA) and non-hierarchical cluster analysis (KMC) were applied to the series of the Standardized Precipitation Index (SPI) at different time scales computed from 94-years ...
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Jerarca: efficient analysis of complex networks using hierarchical clustering.
... iterative hierarchical clustering strategy is precisely that the clustering algorithm must be repeatedly used to generate a sufficiently large set of iterations as to be representative of the underlying structure ...
7
J. Braz. Chem. Soc. vol.23 número9
... The composition of the volatiles emitted by different trees has been successfully used as a marker in a wide variety of studies, such as chemotaxonomy. Characterization of the volatiles emitted by different species of ...
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A global hierarchical and Equal-Area Sphere Grid and Its Geometry Distortion Analysis
... and analysis frame is required for global problem ...statistical analysis, the method for constructing hierarchical and equal-area GDG is discussed in this ...
6
Genetic dissimilarity and definition of recombination clusters among green corn half-sib progenies
... The cutoff applied at a distance of 16.5 in the UPGMA dendrogram was based on the Mojena (1977) method, which corresponds to 25.6% of the highest fusion level, allowing to visualize 11 clusters (Figure 1). Cluster ...
10
Receitas e despesas municipais: uma exegese fundamentada na CLUSTER ANALYSIS
... Finanças Públicas define imposto direto como aquele que é pago pelo indivíduo sobre o qual recai o ônus da tributação, ao passo que, os indiretos são aqueles c[r] ...
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