Results 21 to 30 of about 312,403 (279)
Asynchronous opinion dynamics on the $k$-nearest-neighbors graph [PDF]
, 2018 This paper is about a new model of opinion dynamics with opinion-dependent connectivity. We assume that agents update their opinions asynchronously and that each agent's new opinion depends on the opinions of the $k$ agents that are closest to it.
Frasca, Paolo, Rossi, Wilbert Samuel
core +5 more sources
Locality Preserving Projection Method Based on Optimal Nearest Neighbor [PDF]
Jisuanji gongchengLocality Preserving Projection(LPP) is a classical dimensionality reduction method used in machine learning. However, the LPP method and some improved methods simply use the k-Nearest Neighbor(k-NN) classification algorithm to find the nearest neighbors ...
ZHAO Juntao, LI Taoshen, LU Zhixiang
doaj +1 more source
Consistency of the $k$-nearest neighbors rule for functional data
Comptes Rendus. Mathématique, 2023 The problem of nonparametric classification by $k$-nearest neighbors rule in a general metric space will be considered. Consistency and strong consistency of the classifier will be established under mild conditions.
Younso, Ahmad
doaj +1 more source
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search [PDF]
, 2020 The $k$-Nearest Neighbor Search ($k$-NNS) is the backbone of several cloud-based services such as recommender systems, face recognition, and database search on text and images.
Chen, Hao +5 more
core +1 more source
KNN-SC: Novel Spectral Clustering Algorithm Using k-Nearest Neighbors
IEEE Access, 2021 Spectral clustering is a well-known graph-theoretic clustering algorithm. Although spectral clustering has several desirable advantages (such as the capability of discovering non-convex clusters and applicability to any data type), it often leads to ...
Jeong-Hun Kim +4 more
doaj +1 more source
Local interpretation of nonlinear regression model with k-nearest neighbors
Digital Chemical Engineering, 2023 With respect to molecular, material, and process designs, it is important to construct nonlinear regression models with high predictive ability between the features, that is, x, and the properties and activities, that is, y.
Hiromasa Kaneko
doaj +1 more source
Ilkom Jurnal Ilmiah, 2023 Diabetes Mellitus is a genetically and clinically heterogeneous metabolic disorder with manifestations of loss of carbohydrate tolerance characterized by high blood glucose levels as a result of insulin insufficiency.
Mohamad Jamil +3 more
doaj +1 more source
Reply to "Comment on `Performance of different synchronization measures in real data: A case study on electroencephalographic signals'" [PDF]
, 2005 We agree with the Comment by Nicolaou and Nasuto about the utility of mutual information (MI) when properly estimated and we also concur with their view that the estimation based on k nearest neighbors gives optimal results.
Grassberger, P. +2 more
core +1 more source
Asymptotics of k-nearest Neighbor Riesz Energies
Constructive Approximation, 2023 We obtain new asymptotic results about systems of $ N $ particles governed by Riesz interactions involving $ k $-nearest neighbors of each particle as $N\to\infty$. These results include a generalization to weighted Riesz potentials with external field.
Hardin, Douglas P. +2 more
openaire +3 more sources
Density peak clustering algorithm based on weighted mutual K-nearest neighbors
Frontiers in Applied Mathematics and StatisticsEver since Density Peak Clustering (DPC) was published in Science, it has been widely favored and applied in various fields due to its concise and efficient computational theory. However, DPC has two major flaws. On the one hand, it fails to find cluster
Chunhua Ren +4 more
doaj +1 more source