Linked Data Explorerhttp://worldcat.org/entity/work/id/137652074
Analyzing of High Dimensional 0-1 Data Set, Boolean Factor Analysis
Factor analysis is a frequently used statistical tool for representing a usually large number of observable variables with a smaller set of latent factors. In classical factor analysis, the observable variables are expressed as linear combinations of the factors. During this procedure neither the factors nor the scores are binary. Boolean factor analysis is a procedure for the representation of binary variables in terms of Boolean combinations of binary factors.
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http://schema.org/about
- http://experiment.worldcat.org/entity/work/data/137652074#Topic/binary_arithmetic
- http://experiment.worldcat.org/entity/work/data/137652074#Topic/numbers
- http://experiment.worldcat.org/entity/work/data/137652074#Topic/boolean_algebra
- http://experiment.worldcat.org/entity/work/data/137652074#Topic/factor_analysis
- http://experiment.worldcat.org/entity/work/data/137652074#Topic/theoretical_mathematics
- http://experiment.worldcat.org/entity/work/data/137652074#Topic/variables
- http://experiment.worldcat.org/entity/work/data/137652074#Topic/tools
http://schema.org/description
- "Factor analysis is a frequently used statistical tool for representing a usually large number of observable variables with a smaller set of latent factors. In classical factor analysis, the observable variables are expressed as linear combinations of the factors. During this procedure neither the factors nor the scores are binary. Boolean factor analysis is a procedure for the representation of binary variables in terms of Boolean combinations of binary factors."@en
http://schema.org/name
- "Analyzing of High Dimensional 0-1 Data Set, Boolean Factor Analysis"@en