The maximum information coefficient

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Splet01. maj 2024 · Maximum information coefficient (MIC) is utilized to capture a wide range of associations between variables, including linear, non-linear and non-functional … Spletinformation does not satisfy the heuristic notion of equitability. After formalizing this notion, the authors also introduce a new statistic called the “maximal information coefficient” …

Short-Term Load Forecasting Based on Maximal Information Coefficient …

SpletBy contrast, a recently introduced dependence measure called the “maximal information coefficient” is seen to violate equitability. We conclude that estimating mutual … SpletThe maximal information coefficient uses binning as a means to apply mutual information on continuous random variables. Binning has been used for some time as a way of applying mutual information to continuous distributions; what MIC contributes in addition is a methodology for selecting the number of bins and picking a maximum over many ... hunga ha'apai volcano

Equitability, mutual information, and the maximal information coefficient

SpletThe Maximal Information Coefficient is a tool that I plan to use more often in the future. It provides a quick way to evaluate (non-linear) associations between lots of variables. ... It … Splet14. mar. 2024 · In this paper, maximum information coefficient (MIC) is introduced to measure the correlation between each feature and the decision. We design a feature … SpletThe maximal information coefficient (MIC) is a measure of two-variable dependence designed specifically for rapid exploration of many-dimensional data sets. MIC is part of a larger family of maximal information-based nonparametric exploration (MINE) statistics, which can be used not only to identify important relationships in data sets but also ... hunga ha'apai volcano erupted on january 15 2022

Detecting Associations Based on the Multi-Variable Maximum …

Characteristics of lower crustal channel flow and ... - Springer

Splet12. jan. 2024 · The maximum information coefficient is based on information and mutual information theories , and it can better measure the linear and nonlinear relationship between variables by dividing the data interval with grid . The maximum mutual information coefficient is a standard to determine the correlation between two variables. Splet01. avg. 2024 · On this basis, we propose the maximum information coefficient based on K-Medoids clustering (KM-MIC), which combines the K-Medoids clustering algorithm to … hunga hunga cozumelSplet12. jan. 2024 · Maximal information Coefficient ( Reshef ,Reshef et al 2011) is an information theory-based measure of association that can capture a wide range of … hunga ha\u0027apai eruption

"Splet27. maj 2024 · Therefore, orthodox linear correlation analysis methods, such as Pearson Correlation Coefficient, are difficult to fully characterize the relationship within the data in high-dimension data. Reshef et al. proposed a method to detect novel associations of large-scale data sets, called the Maximum Information Coefficient (MIC). MIC is a method ... " - The maximum information coefficient

The maximum information coefficient

KM-MIC: An improved maximum information coefficient

Splet02. nov. 2024 · Effective feature selection can help improve the classification performance in bearing fault diagnosis. This paper proposes a novel feature selection method based on bearing fault diagnosis called Feature-to-Feature and Feature-to-Category- Maximum Information Coefficient (FF-FC-MIC), which considers the relevance among features and … Splet14. mar. 2014 · Look, we mathematically prove that Reshef et al.’s definition of statistical “equitability” cannot be satisfied; we replace it with an alternative definition that is …

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SpletKey features: APPROX-MIC (the original algorithm, DOI: 10.1126/science.1205438) and MIC_e (DOI: arXiv:1505.02213 and DOI: arXiv:1505.02214) estimators; Total Information … SpletThe maximal information coefficient (MIC) is a measure of two-variable dependence designed specifically for rapid exploration of many-dimensional data sets. MIC is part of …

Splet21. jan. 2024 · You can read the MICtools paper by Albanese, et al.. MICtools is practical, general purpose, open-source software for maximal information coefficient analysis. I think you can run it on your microarray data without problems. For multiple testing correction, MICtools makes available the strategies implemented in the Python Statsmodels … SpletMIC. MIC 即：Maximal Information Coefficient 最大互信息系数。. 使用MIC来衡量两个基因之间的关联程度，线性或非线性关系，相较于Mutual Information（MI）互信息而言有更 …

SpletFirstly, the maximum information coefficient is used to analyze the correlation between meteorological factors and load, the non-essential meteorological factors are removed. according to the analysis results, and a human comfort evaluation index is introduced. Secondly, the filtered meteorological data combined with load data are used as the ... Splet13. apr. 2024 · The XGBoost classification algorithm showed the highest accuracy of 87.63% (kappa coefficient of 0.85), 88.24% (kappa coefficient of 0.86), and 84.03% …

SpletBackground: The main obstacle encountered in microarray technology is how to mine the valuable information under the profiles and study the genes function. Objective: Maximal information coefficient (MIC) is a novel, non-parametric statistic that has been successfully applied to genome-wide association studies and differentially gene and miRNA …

In statistics, the maximal information coefficient (MIC) is a measure of the strength of the linear or non-linear association between two variables X and Y. The MIC belongs to the maximal information-based nonparametric exploration (MINE) class of statistics. In a simulation study, MIC outperformed some … Prikaži več The maximal information coefficient uses binning as a means to apply mutual information on continuous random variables. Binning has been used for some time as a way of applying mutual information to … Prikaži več 1. ^ The "b" subscripts have been used to emphasize that the mutual information is calculated using the bins Prikaži več hunga ha\u0027apai and hunga tongaSpletThe maximum correlation coefficient between partial sums of independent and identically distributed random variables with finite second moment equals the classical (Pearson) correlation coefficient between the sums, and thus does not depend on the distribution of the random variables. This result is proved, and relations between the linearity of … hunga hunga hunga hunga junglaSplet29. jun. 2024 · The critical reduced electric field intensity and boiling temperature (BT) of gas are used as inputs to extract the important molecular structure parameters (MSPs) … hunga ha'apai volcano eruptionSplet05. apr. 2024 · Detecting Associations Based on the Multi-Variable Maximum Information Coefficient. Abstract: The maximum information coefficient (MIC) is a novel and widely … hunga ha\\u0027apai islandSplet13. apr. 2024 · The following results were obtained: (1) The greater the viscosity and the smaller the thickness of the lower crustal conduit flow, the steeper the ground elevation change formed; (2) The maximum viscosity coefficient in the region from India to the Kunlun Mountains in the southern Tibetan Plateau through the Himalayan boundary is … hunga ha'apai. tonga vulkanSpletIn this paper, we build multivariate regression models of home prices using a dataset composed of 81 homes. We then applied the maximum information coefficient (MIC) statistics to the observed home values (Y) and the predicted values (X) as an evaluation of the regression models. hunga ha\u0027apai island