Zobrazeno 1 - 10
of 776
pro vyhledávání: '"Ensemble clustering"'
Publikováno v:
Journal on Mathematics Education, Vol 15, Iss 3, Pp 751-770 (2024)
Mathematics achievement could be influenced by cognitive and non-cognitive factors. The potential variable of cognitive factor is metacognition, whereas non-cognitive factors include Economic, Social, and Cultural Status (ESCS), resilience, life sati
Externí odkaz:
https://doaj.org/article/5d2417c3707349558af4995da57752db
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-26 (2024)
Abstract This paper processes a novel hierarchical high-dimensional clustering algorithm based on the Active Learning Method (ALM), which is a fuzzy-learning algorithm. The hierarchical part of the algorithm is composed of two phases: divisible and a
Externí odkaz:
https://doaj.org/article/41e39535d8a3417db295c25dfbd0dade
Publikováno v:
Defence Technology, Vol 36, Iss , Pp 149-162 (2024)
Target maneuver recognition is a prerequisite for air combat situation awareness, trajectory prediction, threat assessment and maneuver decision. To get rid of the dependence of the current target maneuver recognition method on empirical criteria and
Externí odkaz:
https://doaj.org/article/46e64d9baa09493bb15cd52ab03297f2
Autor:
Mohsen Zargarani, Claude Delpha, Demba Diallo, Anne Migan-Dubois, Chabakata Mahamat, Laurent Linguet
Publikováno v:
IEEE Access, Vol 12, Pp 170418-170436 (2024)
The role of clustering in unsupervised fault diagnosis is significant, but different clustering techniques can yield varied results and cause inevitable uncertainty. Ensemble clustering methods have been introduced to tackle this challenge. This stud
Externí odkaz:
https://doaj.org/article/419645ae36544795a4a346bba9db1f6d
Publikováno v:
IEEE Access, Vol 12, Pp 73581-73598 (2024)
As urban areas continue progressing into more complex development, urban areas become more vulnerable to disaster. Therefore, there is growing interest in investigating disaster response processes considering population distribution variation within
Externí odkaz:
https://doaj.org/article/279a7a92d0094ea0a2258596d920cd0e
Publikováno v:
IEEE Access, Vol 12, Pp 20197-20208 (2024)
In many real-world applications, data are described by high-dimensional feature spaces, posing new challenges for current ensemble clustering methods. The goal is to combine sets of base clusters to enhance clustering accuracy, but this makes them su
Externí odkaz:
https://doaj.org/article/2df5eb25cc1d46a88154b373969eab26
Publikováno v:
Energies, Vol 17, Iss 22, p 5559 (2024)
Smart meter data provide an in-depth perspective on household energy usage. This research leverages on such data to enhance demand response (DR) programs through a novel application of ensemble clustering. Despite its promising capabilities, our lite
Externí odkaz:
https://doaj.org/article/2de47c25d6ac4bcc8db7762af267649e
Autor:
Ghorbanian, Ali, Razavi, Hamideh
Publikováno v:
Data Technologies and Applications, 2023, Vol. 57, Issue 5, pp. 756-779.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-08-2022-0300
Publikováno v:
Automatika, Vol 64, Iss 4, Pp 764-771 (2023)
Hierarchical clustering is a common type of clustering in which the dataset is hierarchically divided and represented by a dendrogram. Agglomerative Hierarchical Clustering (AHC) is a common type of hierarchical clustering in which clusters are creat
Externí odkaz:
https://doaj.org/article/bfe6d06457f34ca7acdc7faf79d35c6f
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 1, Pp 270-282 (2023)
Ensemble clustering is known as a challenging research direction in data mining. The results of several individual clustering methods are combined to produce higher quality final clusters. This study introduces a parallel hierarchical clustering appr
Externí odkaz:
https://doaj.org/article/f3df293b60684d8b972457fd09bc51aa