Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Binary data

Known as: Binary variable, Binary random variable, Dichotomized response variable 
Binary data is data whose unit can take on only two possible states, traditionally termed 0 and +1 in accordance with the binary numeral system and… Expand
Wikipedia

Related topics

Related topics

50 relations
32-bitBase36Base58Base64
Expand

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2008
Highly Cited
2008
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Some unique properties of eigenvector centrality
Abstract Eigenvectors, and the related centrality measure Bonacich's c(β), have advantages over graph-theoretic measures like… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2005
Highly Cited
2005
A general model for clustering binary data
  • Tao Li
  • KDD '05
  • 2005
    • Corpus ID: 1750917
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by… Expand
  • table 1
  • figure 1
  • table 2
  • table 3
  • figure 2
Is this relevant?
Highly Cited
2002
Highly Cited
2002
An examination of indexes for determining the number of clusters in binary data sets
The problem of choosing the correct number of clusters is as old as cluster analysis itself. A number of authors have suggested… Expand
  • table 1
  • table 2
  • table 3
  • table 4
  • table 5
Is this relevant?
Highly Cited
1995
Highly Cited
1995
Bayesian learning for neural networks
From the Publisher: Artificial "neural networks" are now widely used as flexible models for regression classification… Expand
Is this relevant?
Highly Cited
1993
Highly Cited
1993
Modelling multivariate binary data with alternating logistic regressions
Marginal models for multivariate binary data permit separate modelling of the relationship of the response with explanatory… Expand
Is this relevant?
Highly Cited
1993
Highly Cited
1993
Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1
A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the… Expand
Is this relevant?
Highly Cited
1993
Highly Cited
1993
Modelling Binary Data.
 
Is this relevant?
Highly Cited
1993
Highly Cited
1993
Synchronization of Lorenz-based chaotic circuits with applications to communications
A circuit implementation of the chaotic Lorenz system is described. The chaotic behavior of the circuit closely matches the… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 6
Is this relevant?
Highly Cited
1971
Highly Cited
1971
The Analysis of binary data
 
Is this relevant?
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE