Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
Scientific Research Publishing

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

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...
GitHub

Prathu14hub/Task-6-K-Nearest-Neighbors-KNN-Classification

To understand and implement the K-Nearest Neighbors (KNN) algorithm for solving classification problems using the Iris dataset. This project demonstrates data preprocessing, model training, evaluation ...
Hosted on MSN

Why Nigeria Has As Many People As Its 15 Nearest Neighbors Combined Part 2

Scientists Found 7,000-Year-Old Mummies in the Desert That Don’t Share DNA With Modern Humans ‘Not My Signature’: Trump Fights Epstein Allegation Are you related to UK royal family? These last names ...
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 ...
Frontiers

KDDC: a new framework that integrates kmers, dataset filtering, dimension reduction and classification algorithms to achieve immune cell heterogeneity classification

Introduction: Integrating immune repertoire sequencing data with single cell sequencing data offers profound insights into the diversity of immune cells and their dynamic changes across various ...
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

An Advanced k Nearest Neighbor Classification Algorithm Based on KD-tree

Abstract: KNN (K Nearest-neighbor Classification) is a lazy learning classification algorithm, where it only memorizes the training dataset instead of providing a defined discriminative function. KNN ...
Frontiers

Can we use k-nearest neighbors classifier to detect patterns in animal behavior associated with changes in metritis status in dairy cattle during postpartum?

In the dairy industry, the use of biosensors has recently been focusing on the quantification of animal behaviors and milk components, and their potential for disease diagnosis (Wathes et al., 2008, ...