Results 51 to 60 of about 25,970,551 (304)
COVID-19 Clustering Countries Data
, 2020 This data set provides the COVID-19 Clustering data for the work "Clustering analysis of countries using the COVID-19 cases dataset "THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN
Zervas, E (via Mendeley Data) +1 more
core +1 more source
A Quaternion Clustering Framework
International Journal of Applied Mathematics and Computer Science, 2020 Data clustering is one of the most popular methods of data mining and cluster analysis. The goal of clustering algorithms is to partition a data set into a specific number of clusters for compressing or summarizing original values. There are a variety of
Piórek Michał, Jabłoński Bartosz
doaj +1 more source
P System–Based Clustering Methods Using NoSQL Databases
Computation, 2021 Models of computation are fundamental notions in computer science; consequently, they have been the subject of countless research papers, with numerous novel models proposed even in recent years. Amongst a multitude of different approaches, many of these
Péter Lehotay-Kéry +2 more
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Diversity and complexity in neural organoids
FEBS Letters, EarlyView.Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
Fuzzy clustering of time series gene expression data with cubic-spline [PDF]
, 2013 Data clustering techniques have been applied to ex- tract information from gene expression data for two decades. A large volume of novel clustering algorithms have been developed and achieved great success.
Ali, Akhtar, Wang, Yu, Angelova, Maia
core +1 more source
Security and Cryptographic Challenges for Authentication Based on Biometrics Data
Cryptography, 2018 Authentication systems based on biometrics characteristics and data represents one of the most important trend in the evolution of the society, e.g., Smart City, Internet-of-Things (IoT), Cloud Computing, Big Data.
Stefania Loredana Nita +2 more
doaj +1 more source
An Empirical Study of Cluster-Based MOEA/D Bare Bones PSO for Data Clustering †
Algorithms, 2021 Previously, cluster-based multi or many objective function techniques were proposed to reduce the Pareto set. Recently, researchers proposed such techniques to find better solutions in the objective space to solve engineering problems.
Daphne Teck Ching Lai, Yuji Sato
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FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Clustering on Spatial Data Sets Using Extended Linked Clustering Algorithms [PDF]
, 2018 Various clustering algorithms (CA) have been reported in literature, to group data into clusters in diverse domains. Literature further reported that, these CAs work satisfactorily either on pure numerical data or on pure categorical data and perform ...
K Lakshmaiah
core
Histogram-based Feature Extraction for GPS Trajectory Clustering [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2020 Clustering trajectories from GPS data is a crucial task for developing applications in intelligent transportation systems.Most existing approaches perform clustering on raw data consisting of series of GPS positions of moving objects overtime.
Chi Nguyen +4 more
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