Extended Complexity Library in R
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Updated
May 19, 2026 - R
Extended Complexity Library in R
Highlight refactors and efforts to keep code base lean
The Python Class Overlap Libray (pycol) assembles a comprehensive set of complexity measures associated with the characterization of the Class Overlap problem.
Research implementation exploring the relationship between dataset complexity and optimal k parameter in Dynamic Classifier Selection methods.
Code used for experiments in the ICPR 2018 paper "Classifier Recommendation Using Data Complexity Measures"
Simulated Complexity Library in R
An R Package to Compute Data Complexity Measures
In this repository, the measures reviewed in article "How Complex is your classification problem? A survey on measuring classification complexity" have been implemented.
Accompanies the paper "Quantifiers satisfying semantic universals have shorter minimal description length"; generates a large collection of quantifiers and computes their complexities, in order to explain semantic universals
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