Results 1 to 10 of about 592,537 (211)

An Enhanced Quantum K-Nearest Neighbor Classification Algorithm Based on Polar Distance. [PDF]

Entropy (Basel), 2023
The K-nearest neighbor (KNN) algorithm is one of the most extensively used classification algorithms, while its high time complexity limits its performance in the era of big data.
Feng C, Zhao B, Zhou X, Ding X, Shan Z.
europepmc   +2 more sources

Skin lesion classification system using a K-nearest neighbor algorithm. [PDF]

Vis Comput Ind Biomed Art, 2022
One of the most critical steps in medical health is the proper diagnosis of the disease. Dermatology is one of the most volatile and challenging fields in terms of diagnosis.
Hatem MQ.
europepmc   +2 more sources

K-nearest neighbor

Scholarpedia, 2009
Classification is a systematic grouping of objects into certain groups based on the same characteristics. The classification method used in this research are naive Bayes and K-Nearest Neighbor which has a relatively high degree of accuracy. This research
Leif E. Peterson
openaire   +2 more sources

Gravity-Matching Algorithm Based on K-Nearest Neighbor [PDF]

Sensors, 2022
The gravity-aided inertial navigation system is a technique using geophysical information, which has broad application prospects, and the gravity-map-matching algorithm is one of its key technologies.
Shuaipeng Gao, Tijing Cai, Ke Fang
doaj   +2 more sources

A Distributed Storage and Computation k-Nearest Neighbor Algorithm Based Cloud-Edge Computing for Cyber-Physical-Social Systems

IEEE Access, 2020
The k-nearest neighbor (kNN) algorithm is a classic supervised machine learning algorithm. It is widely used in cyber-physical-social systems (CPSS) to analyze and mine data.
Wei Zhang, Xiaohui Chen, Yueqi Liu, Qian Xi   +3 more
doaj   +2 more sources

Analysis of Decision Tree and K-Nearest Neighbor Algorithm in the Classification of Breast Cancer. [PDF]

Asian Pac J Cancer Prev, 2019
Objective: The death rate of breast tumour is falling as there is progress in its research area. However, it is the most common disease among women.
Rajaguru H, S R SC.
europepmc   +2 more sources

Chromatic $k$-Nearest Neighbor Queries

Journal of Computational Geometry, 2022
37 pages, 9 ...
van der Horst, Thijs, Löffler, Maarten, Staals, Frank   +2 more
openaire   +8 more sources

Modernizing k‐nearest neighbors

Stat, 2021
The k‐nearest neighbors (k‐NN) method is one of the oldest statistical/machine learning techniques. It is included in virtually every major package, such as caret, parsnip, mlr3 and scikit‐learn. Yet those packages do not go beyond the basics. With today's high‐speed computation capability, k‐NN can be made much more powerful.
Robin Elizabeth Yancey, Bochao Xin, Norm Matloff   +2 more
openaire   +1 more source

Perbandingan Kinerja k-Nearest Neighbor dan Local Mean Distance k-Nearest Neighbor Pada Data Citra Covid-19

Jurnal Komputer Terapan, 2023
Corona Virus Disease 2019 (covid-19) merupakan pandemi dunia yang menimbulkan berbagai kerugian di dunia. Diagnosis covid-19 yang valid memerlukan waktu yang cukup lama dan hasil ini tidak sepenuhnya akurat.
Sapriadi Sapriadi
doaj   +1 more source

Quantum K-nearest neighbor classification algorithm based on Hamming distance [PDF]

Quantum Information Processing, 2021
K-nearest neighbor classification algorithm is one of the most basic algorithms in machine learning, which determines the sample’s category by the similarity between samples. In this paper, we propose a quantum K-nearest neighbor classification algorithm
Jing Li, Song Lin, Kai-huan Yu, Gongde Guo   +3 more
semanticscholar   +1 more source