Results 31 to 40 of about 796,452 (265)
Mental-Map Preserving Visualisation of Partitioned Networks in Vanted
Journal of Integrative Bioinformatics, 2019 Biological networks can be large and complex, often consisting of different sub-networks or parts. Separation of networks into parts, network partitioning and layouts of overview and sub-graphs are of importance for understandable visualisations of those
Garkov Dimitar +3 more
doaj +1 more source
Applied Sciences, 2022 Recognizing dangerous situations in advance and determining priority is essential in vessel traffic surveillance. The traffic management priority is determined by the vessel traffic service operator (VTSO) employing the closest point of approach (CPA ...
Lee-na Lee, Joo-sung Kim
doaj +1 more source
Clustering Data by Melting [PDF]
Neural Computation, 1993 We derive a new clustering algorithm based on information theory and statistical mechanics, which is the only algorithm that incorporates scale. It also introduces a new concept into clustering: cluster independence. The cluster centers correspond to the local minima of a thermodynamic free energy, which are identified as the fixed points of a one ...
openaire +2 more sources
Privileged Information for Data Clustering [PDF]
SSRN Electronic Journal, 2012 Information Sciences 194, 4-23 ...
Jan Feyereisl, Uwe Aickelin
openaire +4 more sources
Optimizing K-Means Algorithm Using the Purity Method for Clustering Oil Palm Producing Regions
JISKA (Jurnal Informatika Sunan Kalijaga)The K-Means algorithm is a fundamental tool in machine learning, widely utilized for data clustering tasks. This research aims to improve the performance of the K-Means algorithm by integrating the Purity method, specifically focusing on clustering ...
Novia Hasdyna +2 more
doaj +1 more source
Spectral clustering with imbalanced data [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 Spectral clustering (SC) and graph-based semi-supervised learning (SSL) algorithms are sensitive to how graphs are constructed from data. In particular if the data has proximal and unbalanced clusters these algorithms can lead to poor performance on well-known graphs such as $k$-NN, full-RBF, $ε$-graphs. This is because the objectives such as Ratio-Cut
Jing Qian, Venkatesh Saligrama
openaire +3 more sources
Exploring Artificial Personality Grouping Through Decision Making in Feature Spaces
AIHuman personality (HP) is seen as an individual’s consistent patterns of feeling, thinking, and behaving by today’s psychological studies, in which HPs are characterized in terms of traits—in particular, as relatively enduring characteristics that ...
Yuan Zhou, Siamak Khatibi
doaj +1 more source
IEEE Access, 2021 The existing radio frequency-based positioning approaches widely used for indoor localization-based service (LBS) are fingerprinting and trilateration and their integration with the inertial sensors-based dead reckoning system.
Santosh Subedi +3 more
doaj +1 more source
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
Clustering for point pattern data [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 Preprint: 23rd Int. Conf. Pattern Recognition (ICPR).
Nhat-Quang Tran +3 more
openaire +2 more sources