Zobrazeno 1 - 10
of 168
pro vyhledávání: '"clustering quality"'
Autor:
Wolfgang Fink, Karm Al Hajhog
Publikováno v:
International Journal of Prognostics and Health Management, Vol 15, Iss 1 (2024)
A generic prioritization framework is introduced for addressing the problem of automated prioritization of region of interest or target selection. The framework is based on the assumption that clustering of preliminary data for preidentified regions
Externí odkaz:
https://doaj.org/article/bdf520ee3bdf4e0899e31999ddf642ee
Publikováno v:
جامعه شناسی کاربردی, Vol 34, Iss 2, Pp 27-44 (2023)
IntroductionThe construct of quality of life, known as the indicator of social development, is an analytical and key element in policy-making and policy examination in the public realm. This construct, initially used in the fields of health, has grad
Externí odkaz:
https://doaj.org/article/f8ab1ae927574bd5af92f9636079eee9
Autor:
Libero Nigro, Franco Cicirelli
Publikováno v:
Algorithms, Vol 16, Iss 12, p 572 (2023)
K-Means is a “de facto” standard clustering algorithm due to its simplicity and efficiency. K-Means, though, strongly depends on the initialization of the centroids (seeding method) and often gets stuck in a local sub-optimal solution. K-Means, i
Externí odkaz:
https://doaj.org/article/74082ca925d841c4921d11b359f87404
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-19 (2022)
Abstract Background Transcription factor (TF) binding motifs are identified by high throughput sequencing technologies as means to capture Protein-DNA interactions. These motifs are often represented by consensus sequences in form of position weight
Externí odkaz:
https://doaj.org/article/9166d8bdd5d048ad8ec4986ccf63f0d4
Publikováno v:
Sensors, Vol 23, Iss 18, p 7925 (2023)
The objective of this article is to develop a methodology for selecting the appropriate number of clusters to group and identify human postures using neural networks with unsupervised self-organizing maps. Although unsupervised clustering algorithms
Externí odkaz:
https://doaj.org/article/3eac0193e7cd4d78ab6e7ba6b02df8b1
Publikováno v:
Data Technologies and Applications, 2020, Vol. 55, Issue 2, pp. 251-279.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-08-2019-0138
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 20, Iss 5, Pp 755-760 (2020)
Subject of Research. The paper presents the study of estimation problem of process characteristics for the particular case of user’s activity prediction in computer online games. Various machine learning methods are considered, and the advantages o
Externí odkaz:
https://doaj.org/article/5abec3469e854c9b99bead9d67552572
Autor:
Sid Ahmed Makhlouf, Belabbas Yagoubi
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 5, Iss 4, Pp 75-85 (2019)
Scientific workflows benefit from the cloud computing paradigm, which offers access to virtual resources provisioned on pay-as-you-go and on-demand basis. Minimizing resources costs to meet user’s budget is very important in a cloud environment. Se
Externí odkaz:
https://doaj.org/article/ae3e199379bc4d21a38e621dfe53b7dc
Publikováno v:
Entropy, Vol 24, Iss 7, p 917 (2022)
In this article, we evaluate the efficiency and performance of two clustering algorithms: AHC (Agglomerative Hierarchical Clustering) and K−Means. We are aware that there are various linkage options and distance measures that influence the clusteri
Externí odkaz:
https://doaj.org/article/6e1f629c178645e3840814c45ed73536
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