k-Nearest Neighbor (kNN) algorithm is an effortless but productive machine learning
algorithm. It is effective for classification as well as regression. However, it is more widely …

Diabetes as a metabolic illness can be characterized by increased amounts of blood
glucose. This abnormal increase can lead to critical detriment to the other organs such as …

k nearest neighbor (kNN) method is a popular classification method in data mining and
statistics because of its simple implementation and significant classification performance …

The K Nearest Neighbor (kNN) method has widely been used in the applications of data
mining and machine learning due to its simple implementation and distinguished …

Glucose is the primary source of energy for cells, which are the building blocks of life. It is
given to the body by insulin that carries out the metabolic tasks that keep people alive …

The KNN algorithm is one of the most popular data mining algorithms. It has been widely
and successfully applied to data analysis applications across a variety of research topics in …

This paper presents a new solution for choosing the K parameter in the k-nearest neighbor
(KNN) algorithm, the solution depending on the idea of ensemble learning, in which a weak …

Common leaf spot (caused by Pseudopeziza medicaginis), rust (caused by Uromyces
striatus), Leptosphaerulina leaf spot (caused by Leptosphaerulina briosiana) and …

Missing data is a common drawback in many real-life pattern classification scenarios. One of
the most popular solutions is missing data imputation by the K nearest neighbours (KNN) …

The estimate ultimate recovery (EUR) of shale gas in individual well is affected by many
factors so that it is difficult to predict accurately. Data-driven methods based on geological …