Nearest neighbour classification techniques, particularly the k‐nearest neighbour (kNN) algorithm, have long been valued for their simplicity and effectiveness in pattern recognition and data ...

The Annals of Statistics, Vol. 36, No. 5 (Oct., 2008), pp. 2135-2152 (18 pages) The kth-nearest neighbor rule is arguably the simplest and most intuitively appealing nonparametric classification ...

The nearest neighbor problem asks where a new point fits into an existing data set. A few researchers set out to prove that there was no universal way to solve it. Instead, they found such a way. If ...

This is a preview. Log in through your library . Abstract An intuitive normalization and gene identification method is proposed. After segmentation of the entire expression range into intensity ...

Scientists in Iraq used a k-Nearest Neighbors algorithm to evaluate the operational status of PV modules under various conditions, including partial shading, open circuit, and short circuit scenarios.

A methodologically sound, empirically based approach to creating peer groupings can and should be adapted to fit the setting of nursing homes. To adapt a previously published methodology for ...