Scientific Research Publishing

Halder, R.K., et al. (2024) Enhancing K-Nearest Neighbor Algorithm: A Com-prehensive Review and Performance Analysis of Modifications. Journal of Big Data, 11, Article No. 113.

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...
Scientific Research Publishing

Cover, T. and Hart, P. (1967) Nearest Neighbor Pattern Classification. IEEE Transactions on Information Theory, 13, 21-27.

ABSTRACT: Missing data remains a persistent and pervasive challenge across a wide range of domains, significantly impacting data analysis pipelines, predictive modeling outcomes, and the reliability ...
GitHub

Pull requests: RajibPramanik/K_nearest_neighbors_classification_Algorithm

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.
IEEE

K-Nearest Neighbor Algorithm Based on the Framework of Ordered Pair of Normalized Real Numbers

Abstract: The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of ...
IEEE

Comparative analysis of k-nearest neighbor and modified k-nearest neighbor algorithm for data classification

Abstract: Data mining is the process of handling information from a database which is invisible directly. Data mining is predicted to become a highly revolutionary branch of science over the next ...