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Categorical variable

Known as: Categorical, Categorical data, Nonnumerical variable 
In statistics, a categorical variable is a variable that can take on one of a limited, and usually fixed, number of possible values, assigning each… 
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Related topics

Related topics

18 relations
Contingency tableDecision tree learningDirect coupling analysisDiscrete choice

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
An affinity-based new local distance function and similarity measure for kNN algorithm
2011
2011
Exact Inference for Categorical Data
  • R. Sooriyarachchi
  • International Encyclopedia of Statistical Science
  • 2011
  • Corpus ID: 46232204
Modern statistical methods rely heavily on nonparametric techniques for comparing two or more populations. These techniques… 
2010
2010
A Bayesian classifier for uncertain data
Data uncertainty is widespread in a variety of applications. This paper proposes a new Bayesian classification algorithm for… 
2009
2009
A Contrast Pattern Based Clustering Quality Index for Categorical Data
Since clustering is unsupervised and highly explorative, clustering validation (i.e. assessing the quality of clustering… 
Highly Cited
2008
Highly Cited
2008
Simultaneous Pattern and Data Clustering for Pattern Cluster Analysis
In data mining and knowledge discovery, pattern discovery extracts previously unknown regularities in the data and is a useful… 
2008
2008
A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, 2nd Edition + An Introduction to Categorical Data Analysis, 2nd Edition
This set contains: 9780471469445 A Step-by-Step Approach to Using SAS for Univariate & Multivariate Statistics, Second Edition by… 
2008
2008
Fast parallel outlier detection for categorical datasets using MapReduce
Outlier detection has received considerable attention in many applications, such as detecting network attacks or credit card… 
1998
1998
Design and analysis of clinical trials : concept and methodologies
Basic Statistical Concepts. Basic Design Consideration. Randomization and Blinding. Designs for Clinical Trials. Classification… 
Highly Cited
1992
Highly Cited
1992
SDIS: A sequential data interchange standard
Few general-purpose computer programs are available that analyze sequential categorical data. If there were a sequential data… 
Highly Cited
1984
Highly Cited
1984
Canonical analysis of categorical data
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