Zobrazeno 1 - 10
of 1 159
pro vyhledávání: '"Semi supervised clustering"'
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 5, Pp 1428-1438 (2024)
Accurate classification of encrypted traffic plays an important role in network management. However, current methods confronts several problems: inability to characterize traffic that exhibits great dispersion, inability to classify traffic with mult
Externí odkaz:
https://doaj.org/article/3b4df5fb07c744ada8a3fe5c53820297
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 1, Pp 55-74 (2024)
Nonnegative Matrix Factorization (NMF) is one of the most popular feature learning technologies in the field of machine learning and pattern recognition. It has been widely used and studied in the multi-view clustering tasks because of its effectiven
Externí odkaz:
https://doaj.org/article/8e9d02b7e07c4f36bb68ef97b85131f3
Publikováno v:
IEEE Access, Vol 12, Pp 131507-131520 (2024)
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised clustering algorithm designed to identify clusters of various shapes and sizes in noisy datasets by pinpointing core points. The primary challenges associated wit
Externí odkaz:
https://doaj.org/article/e976f018eec84c64a332e9362892fd8e
Publikováno v:
IEEE Access, Vol 12, Pp 107077-107088 (2024)
This study addresses the challenge of improving the accuracy and efficiency of lesion segmentation in brain stroke Diffusion Weighted Images (DWI), with a particular focus on the issue of class imbalance. Traditional clustering algorithms often fail
Externí odkaz:
https://doaj.org/article/e314a877c79043969327a65094fc1584
Autor:
Jiayi Zhao, Guangxue Li
Publikováno v:
Alexandria Engineering Journal, Vol 80, Iss , Pp 191-201 (2023)
Sports injury risk prediction plays an important role in evaluating the stability of the body in the process of sports. Based on deep neural network and semi-supervised clustering theory, this paper constructs a sports injury risk prediction model, a
Externí odkaz:
https://doaj.org/article/fa54bce6886c46bd880abf32e02ae6eb
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
Autor:
Ashutosh Tiwari, Manoochehr Shirzaei
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 126, Iss , Pp 103611- (2024)
Over the past two decades, Interferometric synthetic aperture radar (InSAR) has been invaluable for studying earth surface deformation and related effects. Deformation maps generated through multi-temporal InSAR processing methods are however difficu
Externí odkaz:
https://doaj.org/article/9cb697337dd945bd82ff11f7e2fb99a6
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101687- (2023)
Recently, both ensemble clustering and semi-supervised clustering have emerged as important paradigms of traditional clustering. Ensemble clustering seeks to integrate multiple clustering results from different methods or the same methods with differ
Externí odkaz:
https://doaj.org/article/54b30426d56244b18799cf0df1c60e1c
Autor:
Lacki, Alexander Stefan
[ES] La fibrilación auricular (FA) es la arritmia cardíaca más común y afecta a más de 33 millones de pacientes en el mundo. A menudo se encuentra en unidades de cuidados intensivos, donde se asocia con hospitalizaciones prolongadas, mayores cos
Externí odkaz:
http://hdl.handle.net/10251/212511
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