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Uncertainty coefficient

Known as: Entropy coefficient, Theil's U 
In statistics, the uncertainty coefficient, also called proficiency, entropy coefficient or Theil's U, is a measure of nominal association. It was… 
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Related topics

Related topics

12 relations
Binary classificationCluster analysisConditional entropyContingency table

Broader (1)

Information theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Uncertainty-based improved multidisciplinary design optimization methods
Uncertainty factors are extremely important in the design of complex systems optimization. Firstly, the optimum design model… 
2017
2017
An improved xie-beni index for cluster validity measure
The pathology may appear as a new cluster(s) on radiological images and hence the information of cluster location cannot decide… 
2013
2013
Visualization of uncertainty using entropy on noise clustering with entropy classifier
Noise clustering, is a vigorous clustering method, performs partitioning of data sets reducing errors caused by outliers. This… 
Highly Cited
2012
Highly Cited
2012
An improved energy detection scheme for cognitive radio networks in low SNR region
Cognitive radio is considered as a new paradigm of designing wireless communication systems that aims at improving the spectrum… 
2010
2010
Research and application of rockburst intensity prediction model based on entropy coefficient and ideal point method
Based on the ideal point method,a model for predicting and classifying rockbursts was established. Considering the key affecting… 
2010
2010
CEO a cloud epistasis computing model in GWAS
The 1000 Genome project has made available a large number of single nucleotide polymorphisms (SNPs) for genome-wide association… 
2008
2008
Improved Fuzzy Clustering Method Based on Entropy Coefficient and Its Application
Based on the principle of fuzzy clustering analysis and the theory of entropy, an improved fuzzy clustering method is given by… 
2006
2006
Uncertainty Measure of Covering Generated Rough Set
Uncertainty measure is a key issue of knowledge discovery based on covering approximation space. Information entropy was applied… 
2005
2005
CONCEPTS, PRINCIPLES AND APPLICATIONS OF SPATIAL DATA MINING AND KNOWLEDGE DISCOVERY
A growing attention has been paid to spatial data mining and knowledge discovery (SDMKD). This paper presents the principles of… 
1996
1996
Firm size and the impact of profit-margin uncertainty on investment: do financing constraints play a role?
We study the response of investment to changes in uncertainty about future profits. We find that in industries dominated by small… 
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