Results 81 to 90 of about 1,206,915 (318)
Profiling the Spatial Structure of London: From Individual Tweets to Aggregated Functional Zones
ISPRS International Journal of Geo-Information, 2018 Knowledge discovery about people and cities from emerging location data has been an active research field but is still relatively unexplored. In recent years, a considerable amount of work has been developed around the use of social media data, most of ...
Chen Zhong +3 more
doaj +1 more source
Deep Features and Clustering Based Keyframes Selection with Security
Ratio Mathematica, 2023 The digital world is developing more quickly than ever. Multimedia processing and distribution, however become vulnerable issues due to the enormous quantity and significance of vital information.
Prachi Chauhan +2 more
doaj +1 more source
Multi-agent Behaviour Segmentation via Spectral Clustering [PDF]
, 2007 18.02.14 KB. OK to add accepted version to spiral, AAAI permits.We examine the application of spectral clustering for breaking up the behaviour of a multi-agent system in space and time into smaller, independent elements.
Takács, B, Demiris, Y, Butler, S
core
Clustering analysis of railway driving missions with niching [PDF]
, 2012 A wide number of applications requires classifying or grouping data into a set of categories or clusters. Most popular clustering techniques to achieve this objective are K-means clustering and hierarchical clustering.
Jaafar, Amine +2 more
core +1 more source
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
On the Elusiveness of Clusters
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012 Rooted phylogenetic networks are often used to represent conflicting phylogenetic signals. Given a set of clusters, a network is said to represent these clusters in the "softwired" sense if, for each cluster in the input set, at least one tree embedded in the network contains that cluster.
S.M. Kelk (Steven) +2 more
openaire +4 more sources
A clustering algorithm for ipsative variables
Dyna, 2019 The aim of this study is to introduce a new clustering method for ipsatives variables. This method can be used for nominals or ordinals variables for which responses must be mutually exclusive, and it is independent of data distribution.
Jesica Rubiano Moreno +3 more
doaj +1 more source
MACOC: a medoid-based ACO clustering algorithm [PDF]
, 2014 The application of ACO-based algorithms in data mining is growing over the last few years and several supervised and unsupervised learning algorithms have been developed using this bio-inspired approach. Most recent works concerning unsupervised learning
Otero, Fernando E. B. +7 more
core +1 more source
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
The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source