Zobrazeno 1 - 10
of 14 207
pro vyhledávání: '"Data clustering"'
Autor:
Michele Coscia
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-20 (2024)
Abstract Cultural data analytics aims to use analytic methods to explore cultural expressions—for instance art, literature, dance, music. The common thing between cultural expressions is that they have multiple qualitatively different facets that i
Externí odkaz:
https://doaj.org/article/0904fe3ca471419d8185d266ce0f943a
Publikováno v:
PeerJ Computer Science, Vol 10, p e2315 (2024)
In various fields, including medical science, datasets characterized by uncertainty are generated. Conventional clustering algorithms, designed for deterministic data, often prove inadequate when applied to uncertain data, posing significant challeng
Externí odkaz:
https://doaj.org/article/680ffbf08d99401e80bc752c62d67d4d
Publikováno v:
Data Technologies and Applications, 2022, Vol. 58, Issue 3, pp. 380-406.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-08-2021-0222
Autor:
Saleem Malik, S Gopal Krishna Patro, Chandrakanta Mahanty, Ayodele Lasisi, Osamah J. Al-sareji
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The field of data exploration relies heavily on clustering techniques to organize vast datasets into meaningful subgroups, offering valuable insights across various domains. Traditional clustering algorithms face limitations in terms of perf
Externí odkaz:
https://doaj.org/article/fc5877d4f9954388b8b7a3e214ba05ba
Autor:
Bagus Kristomoyo Kristanto, Syntia Widyayuningtias Putri Listio, Mukhlis Amien, Panji Iman Baskoro
Publikováno v:
Journal of Applied Informatics and Computing, Vol 8, Iss 1, Pp 221-225 (2024)
In the context of retail distribution, this study employs recursive K-means clustering on retail sales data to optimize clusters of nearest-distance stores for salesperson route recommendations. This approach addresses the stochastic salesperson prob
Externí odkaz:
https://doaj.org/article/74b498e5657e4dd38d320f8139483c4d
Publikováno v:
European Journal of Investigation in Health, Psychology and Education, Vol 14, Iss 6, Pp 1627-1646 (2024)
Multimedia resources, such as instructional videos, are currently enjoying a certain popularity in the training programs for medical and dental students. The major challenge is to create such resources with quality content that is approved by student
Externí odkaz:
https://doaj.org/article/9a8ee02e53124c51b5c72e21073c86ea
Autor:
N.A. Azarova
Publikováno v:
Модели, системы, сети в экономике, технике, природе и обществе, Iss 2 (2024)
Background. In modern conditions the economic success of regional development is determined by the speed of managerial responses to changes and challenges in the external environment. The purpose of the study was to develop an algorithm for classif
Externí odkaz:
https://doaj.org/article/28650437aad046008fcf7f6bd39f4e64
Publikováno v:
大数据, Vol 10, Pp 133-148 (2024)
In order to reduce the computational burden of large-scale data spectral clustering and further improve the clustering accuracy and robustness, the spectral clustering ensemble algorithm based on the three-order tensor for large-scale data was propos
Externí odkaz:
https://doaj.org/article/5fb6103a1b274000955d0a8fa092fe54
Autor:
Maya Cendana, Ren-Jieh Kuo
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1009-1054 (2024)
Numerous real-world applications apply categorical data clustering to find hidden patterns in the data. The K-modes-based algorithm is a popular algorithm for solving common issues in categorical data, from outlier and noise sensitivity to local opti
Externí odkaz:
https://doaj.org/article/5c4e69efceac4117920cae5a67cb2e82
Publikováno v:
Экономика: стратегия и практика, Vol 19, Iss 1, Pp 70-87 (2024)
This study delves into the perceptions and practices of the agricultural community regarding eco-friendly technologies and air pollution through a detailed clustering analysis of survey data. The primary objective is to identify distinct groups withi
Externí odkaz:
https://doaj.org/article/62694c10e7ee4bfb805f31fa32ed9dd3