Transformation of Nominal Variables for Classification Analysis

2021 ◽  
Vol 23 (4) ◽  
pp. 1569-1579
Author(s):  
Ji Woo Kim ◽  
HyungJun Cho
Keyword(s):  
Classification Analysis ◽  
Nominal Variables

scholarly journals Integrated chassis control: Classification, analysis and future trends

2021 ◽  
Author(s):  
Victor Mazzilli ◽  
Stefano De Pinto ◽  
Leonardo Pascali ◽  
Michele Contrino ◽  
Francesco Bottiglione ◽  
...  
Keyword(s):  
Future Trends ◽  
Classification Analysis ◽  
Integrated Chassis Control ◽  
Chassis Control

scholarly journals Physical Parameter Identification Algorithm Modeling for Complex Microsystem via Triangulation Functions

2018 ◽  
Vol 7 (4.36) ◽  
pp. 962
Author(s):  
Elena N. Meshcheryakova ◽  
. .
Keyword(s):  
Parameter Identification ◽  
Physical Parameter ◽  
Delaunay Triangulation ◽  
Model Development ◽  
Physical Object ◽  
Identification Algorithm ◽  
Classification Analysis ◽  
Advantages And Disadvantages ◽  
Object Parameters ◽  
D Model

This article describes the possibility of triangulation function use for the classification, analysis and identification of complex microsystem physical object parameters. They analyzed the existing methods and identification algorithms, their advantages and disadvantages are highlighted. The existing methods of triangulation are considered, the possibility of Delaunay triangulation is described for surfactant signal 3-D model development and analysis. They developed the algorithm to identify the state of an object using the triangulation function that takes into account the change of node coordinates and the length of the triangulation grid edges. They presented the visual UML model. The conclusions are drawn about the possibility of triangulation function use for the analysis of complex microsystem state.  

scholarly journals Dynamic population codes of multiplexed stimulus features in primate area MT

2017 ◽  
Vol 118 (1) ◽  
pp. 203-218 ◽  
Author(s):  
Erin Goddard ◽  
Samuel G. Solomon ◽  
Thomas A. Carlson
Keyword(s):  
Population Level ◽  
Similarity Analysis ◽  
Population Response ◽  
Classification Analysis ◽  
Area Mt ◽  
Temporal Area ◽  
Middle Temporal ◽  
Feature Representations ◽  
Spatial Frequencies ◽  
Stimulus Features

The middle-temporal area (MT) of primate visual cortex is critical in the analysis of visual motion. Single-unit studies suggest that the response dynamics of neurons within area MT depend on stimulus features, but how these dynamics emerge at the population level, and how feature representations interact, is not clear. Here, we used multivariate classification analysis to study how stimulus features are represented in the spiking activity of populations of neurons in area MT of marmoset monkey. Using representational similarity analysis we distinguished the emerging representations of moving grating and dot field stimuli. We show that representations of stimulus orientation, spatial frequency, and speed are evident near the onset of the population response, while the representation of stimulus direction is slower to emerge and sustained throughout the stimulus-evoked response. We further found a spatiotemporal asymmetry in the emergence of direction representations. Representations for high spatial frequencies and low temporal frequencies are initially orientation dependent, while those for high temporal frequencies and low spatial frequencies are more sensitive to motion direction. Our analyses reveal a complex interplay of feature representations in area MT population response that may explain the stimulus-dependent dynamics of motion vision. NEW & NOTEWORTHY Simultaneous multielectrode recordings can measure population-level codes that previously were only inferred from single-electrode recordings. However, many multielectrode recordings are analyzed using univariate single-electrode analysis approaches, which fail to fully utilize the population-level information. Here, we overcome these limitations by applying multivariate pattern classification analysis and representational similarity analysis to large-scale recordings from middle-temporal area (MT) in marmoset monkeys. Our analyses reveal a dynamic interplay of feature representations in area MT population response.

scholarly journals A multivariate analysis of subline divergence in the shape of the mandible in C57BL/Gr mice

1973 ◽  
Vol 21 (2) ◽  
pp. 121-132 ◽  
Author(s):  
Michael Festing
Keyword(s):  
Multivariate Analysis ◽  
Distance Function ◽  
Canonical Variate ◽  
Multivariate Techniques ◽  
Graphical Display ◽  
Classification Analysis ◽  
Variate Analysis ◽  
Pedigree Relationship ◽  
Highly Correlated ◽  
Generalized Distance

SUMMARYThe shape of the mandible in. nine sublines of C57BL/Gr, seven other strains of ‘C57 ancestry’ and four unrelated strains was studied by multivariate techniques. The generalized distance function was used to classify individuals in the groups which they most closely resembled. The degree of misclassification depended on the pedigree relationship between strains and sublines. The generalized distance between pairs of subline centeroids was also highly correlated (r = 0·60) with the number of generations between them. A canonical variate analysis was used to reduce the dimensionality so that a graphical display of the relationships between strains and sublines could be made. The results agreed closely with the classification analysis. It was concluded that the shape of the mandible could be used for subline identification though the accuracy of this technique depends on how closely the sublines are related.

scholarly journals Factors affecting eating habits and knowledge of edible flowers in different countries

2021 ◽  
Vol 6 (1) ◽  
pp. 67-81
Author(s):  
Raquel P. F. Guiné ◽  
Sofia G. Florença ◽  
Ana Cristina Ferrão ◽  
Maša Černelič Bizjak ◽  
Blanka Vombergar ◽  
...  
Keyword(s):  
Questionnaire Survey ◽  
Eating Habits ◽  
Statistical Tools ◽  
Chi Square ◽  
Classification Analysis ◽  
Factors Affecting ◽  
Level Of Education ◽  
Lack Of Information ◽  
Level Of Knowledge ◽  
Classification And Regression

Abstract The use of edible flowers (EF) in gastronomy is gaining popularity; however, there is still a lack of information about the factors that most contribute to the acceptance of this product. Therefore, the objective of this study was to investigate the habits associated with the usage of EF in gastronomy in three different countries (Portugal, Slovenia, and Brazil) and also to evaluate the major determinants for those habits. In addition, the level of knowledge was also investigated, particularly with regard to the aspects such as perceived risks of toxicity and pesticides. For that, a questionnaire survey of self-response was carried out on a sample of 559 participants, from the above-mentioned countries. To analyse the data, basic descriptive statistical tools were used combined with crosstabs and chi-square tests. Finally, a tree classification was performed using the classification and regression trees algorithm. The results revealed that, regardless of the country, the participants were familiar with the use of EF in gastronomy. The participants had, in general, already consumed EF, and their use was more popular between the Portuguese participants, being the Brazilian those who used them less. Significant differences were found between the countries in the form of consumption of EF and also in the types of EF consumed. There were also significant differences regarding the reasons for eating EF. The classification analysis showed that the country and the level of education were the major determinants for the consuming habits and knowledge about EF. This study highlighted that eating habits are very dependent on the customs and traditions of each country and helped understanding the factors that most affect the participants’ attitudes towards the consumption and knowledge of EF.

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