A Random Projection k Nearest Neighbours Ensemble for Classification via Extended Neighbourhood Rule

no code implementations • 21 Mar 2023 • Amjad Ali, Muhammad Hamraz, Dost Muhammad Khan, Wajdan Deebani, Zardad Khan

Ensembles based on k nearest neighbours (kNN) combine a large number of base learners, each constructed on a sample taken from a given training data.

Optimal Extended Neighbourhood Rule $k$ Nearest Neighbours Ensemble

no code implementations • 21 Nov 2022 • Amjad Ali, Zardad Khan, Dost Muhammad Khan, Saeed Aldahmani

Each base model is constructed on a bootstrap sample with a random subset of features, and optimal models are selected based on out-of-bag performance after building a sufficient number of models.

A k nearest neighbours classifiers ensemble based on extended neighbourhood rule and features subsets

no code implementations • 30 May 2022 • Amjad Ali, Muhammad Hamraz, Naz Gul, Dost Muhammad Khan, Zardad Khan, Saeed Aldahmani

kNN based ensemble methods minimise the effect of outliers by identifying a set of data points in the given feature space that are nearest to an unseen observation in order to predict its response by using majority voting.