Алгоритмы автоматической группировки с повышенными требованиями к точности и стабильности результата

ИП Рожнов, ЛА Казаковцев, ВИ Орлов, ДЛ Михнёв - 2020 - elibrary.ru
Рассматривается проблема повышения точности и устойчивости результата работы
алгоритмов автоматической группировки (кластеризации) на основе нового подхода к …

[引用][C] Advanced methods to improve performance of k-means algorithm: A review

R Yadav, A Sharma - Global Journal of Computer Science and Technology, 2012

Criminal pattern identification based on modified K-means clustering

T Aljrees, D Shi, D Windridge… - … Conference on Machine …, 2016 - ieeexplore.ieee.org
Data mining methods like clustering enable police to get a clearer picture of criminal
identification and prediction. Clustering algorithms will help to extracts hidden patterns to …

Optimal Siting and Sizing of Hydrogen Production Modules in Distribution Networks with Photovoltaic Uncertainties

Z Li, W Wu, Y Si, X Chen - Energies, 2023 - mdpi.com
Hydrogen production modules (HPMs) play a crucial role in harnessing abundant
photovoltaic power by producing and supplying hydrogen to factories, resulting in significant …

Performance Analysis of Multi-UAV Aided Cell-Free Radio Access Network with Network-Assisted Full-Duplex for URLLC

Z Wan, J Li, P Zhu, D Wang, F Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Cell-free radio access network (CF-RAN) with network-assisted full-duplex (NAFD)
possesses scalability and enables reception and transmission simultaneously, which is …

Hybrid approach for tuberculosis data classification using optimal centroid selection based clustering

M Shukla, S Agarwal - 2014 students conference on …, 2014 - ieeexplore.ieee.org
Application of classification technique in healthcare is challenging because of high
dimensional medical data and of its dynamic nature. The research work here is focused on …

Алгоритм для задачи к-средних с рандомизированными чередующимися окрестностями

ИП Рожнов, ЛА Казаковцев, МН Гудыма… - Системы управления …, 2018 - elibrary.ru
Предложены новые алгоритмы метода жадных эвристик для решения классической
задачи кластерного анализа k-средних, позволяющий получать результат с лучшим …

Operational analysis of k-medoids and k-means algorithms on noisy data

WS Manjoro, M Dhakar… - … on communication and …, 2016 - ieeexplore.ieee.org
Clustering is applied to many applications and the decision with regards to which algorithm
to use is dependent on the nature of the task to be carried out. Before choosing which …

[PDF][PDF] Analysis of initial centers for k-means clustering algorithm

MPS Bhatia, D Khurana - International journal of computer applications, 2013 - Citeseer
Data Analysis plays an important role for understanding different events. Cluster Analysis is
widely used data mining technique for knowledge discovery. Clustering has wide …

Discovering self-quantified patterns using multi-time window models

L McCully, H Cao, M Wachowicz… - Applied Computing …, 2022 - emerald.com
Purpose A new research domain known as the Quantified Self has recently emerged and is
described as gaining self-knowledge through using wearable technology to acquire …