Results 261 to 270 of about 592,656 (330)

Remaining useful life estimation of lithium-ion cells based on k-nearest neighbor regression with differential evolution optimization

Journal of Cleaner Production, 2020
Remaining useful life estimation is of great importance to customers who use battery-powered products. This paper develops a remaining useful life estimation model based on k-nearest neighbor regression by incorporating data from all the cells in a ...
Yapeng Zhou, Miaohua Huang, M. Pecht
semanticscholar   +1 more source

K-Nearest Neighbors Hashing

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Hashing based approximate nearest neighbor search embeds high dimensional data to compact binary codes, which enables efficient similarity search and storage. However, the non-isometry sign() function makes it hard to project the nearest neighbors in continuous data space into the closest codewords in discrete Hamming space.
Xiangyu He, Peisong Wang, Jian Cheng
openaire   +1 more source

k-Nearest Neighbor Classification

2009
The k-nearest neighbor (k-NN) method is one of the data mining techniques considered to be among the top 10 techniques for data mining [237]. The k-NN method uses the well-known principle of Cicero pares cum paribus facillime congregantur (birds of a feather flock together or literally equals with equals easily associate).
Antonio Mucherino, Petraq J. Papajorgji, Panos M. Pardalos   +2 more
openaire   +2 more sources

Fake News Detection on Social Media using K-Nearest Neighbor Classifier

International Conference on Advances in Computing and Communication Engineering, 2020
Consumption of news from social media is gradually increasing because of it's easy to access, cheap and more attractive and it's capable to spread the “fake news”. The widespread of fake news has latent adverse impressions on people and culture.
Ankit Kesarwani, S. S. Chauhan, Anil Ramchandran Nair   +2 more
semanticscholar   +1 more source

K-Nearest Neighbors

2023
  +6 more sources

Movie Recommender System Using K-Means Clustering AND K-Nearest Neighbor

Confluence, 2019
In the field of Artificial Intelligence Machine learning provides the automatic systems which learn and improve itself from experience without being explicitly programmed.
Rishabh Ahuja, A. Solanki, A. Nayyar
semanticscholar   +1 more source

K-Nearest Neighbors

2020
Please download the sample Excel files from https://github.com/hhohho/Learn-Data-Mining-through-Excel for this chapter’s exercises.
openaire   +1 more source

Protein kinase inhibitors' classification using K-Nearest neighbor algorithm

Comput. Biol. Chem., 2020
Protein kinases are enzymes acting as a source of phosphate through ATP to regulate protein biological activities by phosphorylating groups of specific amino acids.
R. Arian, A. Hariri, A. Mehridehnavi, A. Fassihi, F. Ghasemi   +4 more
semanticscholar   +1 more source

EVOLVING EDITED k-NEAREST NEIGHBOR CLASSIFIERS

International Journal of Neural Systems, 2008
The k-nearest neighbor method is a classifier based on the evaluation of the distances to each pattern in the training set. The edited version of this method consists of the application of this classifier with a subset of the complete training set in which some of the training patterns are excluded, in order to reduce the classification error rate.
Roberto, Gil-Pita, Xin, Yao
openaire   +2 more sources

Fault detection and diagnosis via standardized k nearest neighbor for multimode process

, 2020
For the multimode process, the scale information of every single mode never be considered in the distance calculation between the data and its neighbors in k nearest neighbor (kNN).
Bing Song, Shuai Tan, Hong-bo Shi, Bo Zhao   +3 more
semanticscholar   +1 more source