ESKNN: Ensemble of Subset of K-Nearest Neighbours Classifiers for Classification and Class Membership Probability Estimation

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Functions for classification and group membership probability estimation are given. The issue of non-informative features in the data is addressed by utilizing the ensemble method. A few optimal models are selected in the ensemble from an initially large set of base k-nearest neighbours (KNN) models, generated on subset of features from the training data. A two stage assessment is applied in selection of optimal models for the ensemble in the training function. The prediction functions for classification and class membership probability estimation returns class outcomes and class membership probability estimates for the test data. The package includes measure of classification error and brier score, for classification and probability estimation tasks respectively.

Author
Asma Gul, Aris Perperoglou, Zardad Khan, Osama Mahmoud, Werner Adler, Miftahuddin Miftahuddin, and Berthold Lausen
Date of publication
2015-09-13 09:22:47
Maintainer
Asma Gul <agul@essex.ac.uk>
License
GPL (>= 2)
Version
1.0

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Man pages

esknnClass
Train ensemble of subset of k-nearest neighbours classifiers...
ESKNN-package
Ensemble of Subset of K-Nearest Neighbours Classifiers for...
esknnProb
Train the ensemble of subset of k-nearest neighbours...
hepatitis
Hepatitis data set
Predict.esknnClass
Class predictions from ensemble of subset of k-nearest...
Predict.esknnProb
Prediction function returning class membership probability...
sonar
Sonar, Mines vs. Rocks.

Files in this package

ESKNN
ESKNN/NAMESPACE
ESKNN/data
ESKNN/data/hepatitis.rda
ESKNN/data/sonar.rda
ESKNN/R
ESKNN/R/Predict.esknnProb.R
ESKNN/R/esknnClass.R
ESKNN/R/Predict.esknnClass.R
ESKNN/R/esknnProb.R
ESKNN/MD5
ESKNN/DESCRIPTION
ESKNN/man
ESKNN/man/Predict.esknnProb.Rd
ESKNN/man/hepatitis.Rd
ESKNN/man/sonar.Rd
ESKNN/man/esknnProb.Rd
ESKNN/man/ESKNN-package.Rd
ESKNN/man/Predict.esknnClass.Rd
ESKNN/man/esknnClass.Rd