Random knn classification and regression are implemented. Random knn based feature selection methods are also included. The approaches are mainly developed for high-dimensional data with small sample size.

Author | Shengqiao Li <lishengqiao@yahoo.com> |

Date of publication | 2015-06-09 00:14:51 |

Maintainer | Shengqiao Li <lishengqiao@yahoo.com> |

License | GPL (>= 2) |

Version | 1.2-1 |

**be:** Backward Elimination Feature Selection with Random KNN

**bestset:** Extract the Best Subset of Feature from Selection Process

**confusion:** Classification Confusion Matrix and Accuracy

**cv.coef:** Coefficient of Variation

**eta:** Coverage Probability

**fitted.rknn:** Extract Model Fitted Values

**internal:** Random KNN Internal Functions

**lambda:** Compute Number of Silent Features

**normalize:** Data Normalization

**package_summary:** Random KNN Classification and Regression

**plot.be:** Plot Function for Recursive Backward Elimination Feature...

**plot.rknnSupport:** Plot Function for Support Criterion

**predicted:** Prediced Value From a Linear Model

**PRESS:** Predicted Residual Sum of Squares

**print.rknn:** Print method for Random KNN

**print.rknnBe:** Print Method for Recursive Backward Elimination Feature...

**print.rknnSupport:** Print Method for Random KNN Support Criterion

**r:** Choose number of KNNs

**rknn:** Random KNN Classification and Regression

**rknnSupport:** Support Criterion

**rsqp:** Predicted R-square

**varUsed:** Features Used or Not Used in Random KNN

rknn

rknn/src

rknn/src/KNN.h

rknn/src/init.c

rknn/src/KNN.c

rknn/NAMESPACE

rknn/R

rknn/R/RandomKNN.R
rknn/R/RandomKNN_regression.R
rknn/R/plot.R
rknn/R/normalization.R
rknn/R/fitted.R
rknn/R/print.R
rknn/R/internal_functions.R
rknn/R/under_devlopment.R
rknn/R/property.R
rknn/R/backward_selection.R
rknn/MD5

rknn/DESCRIPTION

rknn/ChangeLog

rknn/man

rknn/man/internal.Rd
rknn/man/confusion.Rd
rknn/man/rknnSupport.Rd
rknn/man/print.rknnSupport.Rd
rknn/man/bestset.Rd
rknn/man/varUsed.Rd
rknn/man/print.rknnBe.Rd
rknn/man/lambda.Rd
rknn/man/cv.coef.Rd
rknn/man/predicted.Rd
rknn/man/print.rknn.Rd
rknn/man/rsqp.Rd
rknn/man/plot.be.Rd
rknn/man/be.Rd
rknn/man/rknn.Rd
rknn/man/normalize.Rd
rknn/man/package_summary.Rd
rknn/man/plot.rknnSupport.Rd
rknn/man/eta.Rd
rknn/man/PRESS.Rd
rknn/man/r.Rd
rknn/man/fitted.rknn.Rd
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