Exploratory data analysis
Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen’s Self-Organizing Map
... in exploratory data analysis and clustering of multivariate data ...artificial data set and a hydro- chemical data set. The hydrochemical data set consists of 131 ...
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EXPLORATORY DATA ANALYSIS USING SELF-ORGANISING MAPS DEFINED IN UP TO THREE DIMENSIONS
... input data onto an ordered and structured array of nodes, designated as the SOM output ...the data, allowing its ...the exploratory analysis of spatial data, two-way data and ...
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Exploratory data analysis and data envelopment analysis of construction and demolition waste management in the European Economic Area
... Component Analysis (PCA), Factor Analysis (FA) and Canonical Correspondence Analysis ...community data, for the interaction of waste in the environment and species through different pollutants ...
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An 'Importance' Map of Signs and Symptoms to Classify Diabetic Polyneuropathy: An Exploratory Data Analysis.
... correspondence analysis (MCA) is a type of factorial analysis capable to analyze observations described by nominal ...ponent analysis when the variables to be analyzed are qualitative instead of ...
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Big data e data analysis: visualização de informação
... of Data Analysis” apelava à análise de dados, como um ramo da estatística e da ...“Exploratory Data Analysis” – gráficos de relação caule-folha, boxplots, matrizes, e muitos mais que ...
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Cad. Saúde Pública vol.17 número5
... In my view, the geocomputational methods reviewed in this paper do not share the same principles as these extensions. These algorith- mic techniques appear to be a computerized version similar, in spirit, to a once very ...
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Urban Mobility Challenges – An Exploratory Analysis of Public Transportation Data in Curitiba
... of data overtime (bus routes, users data, bus schedules, ...Such data provide a number of opportunities to identify various facets of user behavior, transportation needs, and traffic ...statistical ...
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CHEMOSTAT: EXPLORATORY MULTIVARIATE DATA ANALYSIS SOFTWARE.
... CHEMOSTAT: EXPLORATORY MULTIVARIATE DATA ANALYSIS ...access exploratory data analysis software application for academic use that is easy to install and can be handled without ...
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Cad. Saúde Pública vol.17 número5
... In my view, the geocomputational methods reviewed in this paper do not share the same principles as these extensions. These algorith- mic techniques appear to be a computerized version similar, in spirit, to a once very ...
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EXPLORATORY GEOSPATIAL DATA ANALYSIS USING SELF-ORGANIZING MAPS
... Most Exploratory Data Analysis techniques are graphical in nature, using pictures to describe data (Chambers et ...large data sets much more accessible than an extensive list of numbers ...
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Comparative studies of the sample decomposition of green and roasted coffee for determination of nutrients and data exploratory analysis
... HCA analysis were applied to the data matrix, which consisted in concentration values obtained for the 9 studied analytes in 36 coffee ...The data were auto-scaled (pre-processing) due to the ...
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A geostatistical exploratory analysis of precipitation extremes in southern Portugal
... The data used in this study are a set of 105 station records with daily precipitation observations for the period ...optimize data availability across the region, taking into consideration the quality ...
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Exploratory semiparametric analysis of two-dimensional diffusions in finance
... In spite of the landmarks in continuous-time derivatives pricing by Black and Scholes (1973) and Merton (1973), which opened a path followed by Vasicek (1977), Cox, Ingersoll and Ross (1985a, b) and Hull and White ...
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Data Sampling and Analysis
... In the present study, we analyzed modifications in the condition factor of the species Potamorhina altamazonica, Potamorhina latior and Psectrogaster rutiloides with the aim of identifying the seasons that result in ...
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Big data for data analysis in financial industry
... of data is so huge that dealing with it becomes an important ...The data arrives at high velocity, with different formats and needs to be processed almost in real- ...traditional analysis is not ...
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Challenges of phylogenetic analyses of aDNA sequences
... Phylogenetically informative characters are distributed throughout the entire gene sequence. This distribution is not random, since functional and structural constraints on different parts of the gene selectively govern ...
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EXPLORATORY MULTIVARIATE STATISTICAL METHODS APPLIED TO PHARMACEUTICAL INDUSTRY CRM DATA
... The analysis of the U-matrix is always touched with some subjectivity whereas hierarchical methods are guided with more tight rules to define the number of clusters, but if the analyst is aware of the type of ...
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PEDOTRANSFER FUNCTIONS RELATED TO SPATIAL VARIABILITY OF WATER RETENTION ATTRIBUTES FOR LOWLAND SOILS
... estimated data, with the exception of the PTF of Bell & van Keulen (1996) for Ug 33 kPa and of Urach (2007) for values for both ...estimated data of Ug 33 kPa and Ug 1,500 kPa ...
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Emergency waiting times data analysis
... Big data is complex due to its dimensions velocity, variety and volume [8], but in the healthcare industry, there is another important dimension, veracity ...[7]. Data on healthcare needs to be veracious so ...
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STRATEGIES OF THE SMALL-SCALE FISHERIES ON THE CENTRAL AMAZON FLOODPLAIN
... This paper presents a description of small-scale fisheries for subsistence at the Central Amazon, analyzed through correspondence analysis which do an exploratory analysis the patter[r] ...
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