Results 1 to 10 of about 843,626 (294)
Practice of applying models of clustering of incoming semi-structured data in management systems [PDF]
E3S Web of Conferences, 2023 A scheme for solving the problem of binary clustering of incoming data in the control system is proposed. Different ways of presenting the initial data of the clustering problem are considered.
Askaraliyev O. U. +3 more
doaj +1 more source
Failure risk of brazilian tailings dams: a data mining approach
Anais da Academia Brasileira de Ciências, 2021 This paper proposes the use of a hybrid method that combines Biased Random Key Genetic Algorithm (BRKGA) with a local search heuristic to separate Brazilian tailing dam data into groups. The goal was identifying dams similar to Fundão and B1 failed dams.
TATIANA B. SANTOS, RUDINEI M. OLIVEIRA
doaj +1 more source
Hybrid Clustering Algorithm for Mobile Data and Static Data
Journal of Harbin University of Science and Technology, 2021 A hybrid data clustering algorithm MMPSP is proposed to solve the clustering problem involving both mobile data and static data. Firstly，the clustering problem of mixed data containing static data sets and only one mobile data is analyzed，and then the ...
HE Yun-bin, DONG Heng, WAN Jing
doaj +1 more source
Stable K Multiple-Means Clustering Algorithm
Jisuanji kexue yu tansuo, 2021 For improving the performance of K-means on the nonconvex cluster, a multiple-means clustering method with specified K clusters partitions the original data into multiple subclasses, and formalizes the multiple-means clustering problem as an optimization
ZHANG Nini, GE Hongwei
doaj +1 more source
Cluster graph modification problems [PDF]
Discrete Applied Mathematics, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shamir, Ron, Sharan, Roded, Tsur, Dekel
openaire +1 more source
IEEE Access, 2023 A new density peak clustering (DPC) algorithm with adaptive clustering center based on differential privacy was proposed to solve the problems of poor adaptability of high-dimensional data, inability to automatically determine clustering centers, and ...
Hua Chen +4 more
doaj +1 more source
A “maximum node clustering” problem [PDF]
Journal of Combinatorial Optimization, 2006 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
G. CARELLO +3 more
openaire +5 more sources
Clustering Based on Continuous Hopfield Network
Mathematics, 2022 Clustering aims to group n data samples into k clusters. In this paper, we reformulate the clustering problem into an integer optimization problem and propose a recurrent neural network with n×k neurons to solve it. We prove the stability and convergence
Yao Xiao +3 more
doaj +1 more source
Adaptive elitist-ant system for medical clustering problem
Journal of King Saud University: Computer and Information Sciences, 2020 In general, population based algorithms are superior to local search based algorithms in term of exploration the search space. In any case, the primary downside in different population based algorithms is in exploiting the search space.
Anmar F. Abuhamdah
doaj +1 more source
On fly hybrid swarm optimization algorithms for clustering of streaming data
Results in Control and Optimization, 2023 Clustering is an important data analysis technique for extracting knowledge and hidden patterns in the data. Recently hybrid clustering algorithms have been proposed to solve the local optimum and poor robustness problem due to improper selection of ...
Yashaswini Gowda N., B.R. Lakshmikantha
doaj +1 more source