Results 21 to 30 of about 483,846 (289)

Sentiment Analysis about Large-Scale Social Restrictions in Social Media Twitter Using Algoritm K-Nearest Neighbor

open access: yesJOIN: Jurnal Online Informatika, 2021
Sentiment analysis is a data processing to recognize topics that people talk about and their sentiments toward the topics, one of which in this study is about large-scale social restrictions (PSBB).
Ikhsan Romli   +2 more
doaj   +1 more source

Probabilistic Nearest Neighbors Classification

open access: yesEntropy, 2023
Analysis of the currently established Bayesian nearest neighbors classification model points to a connection between the computation of its normalizing constant and issues of NP-completeness. An alternative predictive model constructed by aggregating the predictive distributions of simpler nonlocal models is proposed, and analytic expressions for the ...
Bruno Fava   +2 more
openaire   +3 more sources

L-SCANN: Logarithmic Subcentroid and Nearest Neighbor

open access: yesJournal of Telecommunications and Information Technology, 2016
Securing a computer network has become a need in this digital era. One way to ensure the security is by deploying an intrusion detection system (IDS), which some of them employs machine learning methods, such as k-nearest neighbor.
Tohari Ahmad, Kharisma Muchammad
doaj   +1 more source

Social aggregation in pea aphids: experiment and random walk modeling. [PDF]

open access: yesPLoS ONE, 2013
From bird flocks to fish schools and ungulate herds to insect swarms, social biological aggregations are found across the natural world. An ongoing challenge in the mathematical modeling of aggregations is to strengthen the connection between models and ...
Christa Nilsen   +7 more
doaj   +1 more source

On Nearest-Neighbor Graphs [PDF]

open access: yesDiscrete & Computational Geometry, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eppstein, D.   +2 more
openaire   +2 more sources

Common Nearest Neighbor Clustering—A Benchmark

open access: yesAlgorithms, 2018
Cluster analyses are often conducted with the goal to characterize an underlying probability density, for which the data-point density serves as an estimate for this probability density.
Oliver Lemke, Bettina G. Keller
doaj   +1 more source

Locality Preserving Projection Method Based on Optimal Nearest Neighbor [PDF]

open access: yesJisuanji gongcheng
Locality 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

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

open access: yesJurnal 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

Comparison between disordered quantum spin 1/2 chains [PDF]

open access: yes, 2006
We study the magnetic properties of two types of one dimensional XX spin 1/2 chains. The first type has only nearest neighbor interactions which can be either antiferromagnetic or ferromagnetic and the second type which has both nearest neighbor and next
C. A. Lamas   +8 more
core   +2 more sources

Boruvka Meets Nearest Neighbors [PDF]

open access: yes, 2013
Computing the minimum spanning tree (MST) is a common task in the pattern recognition and the computer vision fields. However, little work has been done on efficient general methods for solving the problem on large datasets where graphs are complete and edge weights are given implicitly by a distance between vertex attributes. In this work we propose a
Tepper, M.   +3 more
openaire   +3 more sources

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