Results 41 to 50 of about 28,901 (302)
Decision Tree Algorithm Considering Distances Between Classes
IEEE Access, 2022 Decision tree algorithm (DT) is a commonly used data mining method for classification and regression. DT repeatedly divides a dataset into pure subsets based on impurity measurements such as entropy and Gini.
Sangyong Lee +3 more
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The robustness of the generalized Gini index
Decisions in Economics and Finance, 2022 AbstractIn this paper, we introduce a map $$\varPhi $$ Φ , which we call zonoid map, from the space of all non-negative, finite Borel measures on $${\mathbb {R}}^n$$ R n with finite
Settepanella S. +3 more
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Advanced Intelligent Discovery, EarlyView.A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
An Estimation of Gini Coefficient in Iran [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2008 The Gini coefficient is a popular and a widely used index for measuring inequality. But it does not express explicitly a parameter or a value judgment to reflect the opinion of authorities or researches.
Mohsen Jalali
doaj
Mortality rate for cervical cancer in Brazil and socioeconomic indicators: a spatial study
Acta Scientiarum. Health Sciences, 2019 The objective of the study was to analyze the correlation between the mortality rate from cervical cancer with schooling, Gini index and Human Development Index (HDI).
Héllyda de Souza Bezerra +3 more
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Fitting a Gaussian Mixture Model Through the Gini Index
International Journal of Applied Mathematics and Computer Science, 2021 A linear combination of Gaussian components is known as a Gaussian mixture model. It is widely used in data mining and pattern recognition. In this paper, we propose a method to estimate the parameters of the density function given by a Gaussian mixture ...
López-Lobato Adriana Laura +1 more
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Energies, 2021 Electricity supply quality (ESQ) is critical for healthy economic production, and regional differences in ESQ can widen economic development gaps. To contribute to a more equitable regional development, this study first develops a Gini index of ESQ ...
Boyan Zhang, Mingming Wang
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Advanced Intelligent Discovery, EarlyView.Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
Cadernos de Saúde Pública, 2011 This study analyzed the spatial distribution of dengue in Rio de Janeiro, Brazil, in 2006, and associations between the incidence per 100,000 inhabitants and socio-environmental variables.
Tatiana Rodrigues de Araujo Teixeira +1 more
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The Gini Index and Measures of Inequality
The American Mathematical Monthly, 2010 The Gini index is a summary statistic that measures how equitably a resource is distributed in a population; income is a primary example. In addition to a self-contained pre- sentation of the Gini index, we give two equivalent ways to interpret this summary statistic: first in terms of the percentile level of the person who earns the average dollar ...
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