Knowledge Discovery by Accuracy Maximization

categorical.test | Categorical Information |

clinical | Clinical Data of a Cohort of Prostate Cancer Patiens |

continuous.test | Continuous Information |

core_cpp | Maximization of Cross-Validateed Accuracy Methods |

correlation.test | Continuous Information |

dinisurface | Ulisse Dini Data Set Generator |

floyd | Find Shortest Paths Between All Nodes in a Graph |

frequency_matching | Frequency Matching |

helicoid | Helicoid Data Set Generator |

knn.double.cv | Cross-Validation with k-Nearest Neighbors algorithm. |

knn.kodama | k-Nearest Neighbors Classifier. |

KODAMA | Knowledge Discovery by Accuracy Maximization |

KODAMA-internal | Internal Grid Functions |

k.test | K-Test of Statistical Association |

loads | Variable Ranking |

lymphoma | Lymphoma Gene Expression Dataset |

mcplot | Evaluation of the Monte Carlo accuracy results |

MetRef | Nuclear Magnetic Resonance Spectra of Urine Samples |

multi_analysis | Continuous Information |

normalization | Normalization Methods |

pca | Principal Components Analysis |

pls.double.cv | Cross-Validation with PLS-DA. |

pls.kodama | Partial Least Squares regression. |

scaling | Scaling Methods |

spirals | Spirals Data Set Generator |

swissroll | Swiss Roll Data Set Generator |

transformy | Conversion Classification Vector to Matrix |

txtsummary | Median and Coefficient Interval |

USA | State of the Union Data Set |

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