Results 71 to 80 of about 74,563 (305)
Spectral clustering for jet physics
Journal of High Energy Physics, 2022 We present a new approach to jet definition alternative to clustering methods, such as the anti-kT scheme, that exploit kinematic data directly. Instead the new method uses kinematic information to represent the particles in a multidimensional space, as ...
Giorgio Cerro +5 more
doaj +1 more source
A temporal precedence based clustering method for gene expression microarray data [PDF]
, 2010 Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in microarray data analysis where the data is grouped together according to ...
Li Chang-Tsun +8 more
core +1 more source
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Applications in Plant Sciences, 2020 Premise Statistical methods used by most morphologists to validate species boundaries (such as principal component analysis [PCA] and non‐metric multidimensional scaling [nMDS]) are limiting because these methods are mostly used as visualization methods,
Preeti Saryan +2 more
doaj +1 more source
Classifying pedestrian movement behaviour from GPS trajectories using visualization and clustering [PDF]
, 2014 Research presented in this paper was funded by a Strategic Research Cluster grant [07/SRC/I1168] by the Science Foundation Ireland under the National Development Plan.
McLoone, Seán; id_orcid +5 more
core +1 more source
Tau acetylation at K331 has limited impact on tau pathology in vivo
FEBS Letters, EarlyView.We mapped tau post‐translational modifications in humanized MAPT knock‐in mice and in amyloid‐bearing double knock‐in mice. Acetylation within the repeat domain, particularly around K331, showed modest increases under amyloid pathology. To test functional relevance, we generated MAPTK331Q knock‐in mice.
Shoko Hashimoto +3 more
wiley +1 more source
Spectral Clustering with Smooth Tiny Clusters
CoRR, 2020 Spectral clustering is one of the most prominent clustering approaches. The distance-based similarity is the most widely used method for spectral clustering. However, people have already noticed that this is not suitable for multi-scale data, as the distance varies a lot for clusters with different densities.
Hengrui Wang +3 more
openaire +2 more sources
Spectral clustering with epidemic diffusion [PDF]
Physical Review E, 2013 6 pages, to appear in Physical Review ...
Laura M. Smith +4 more
openaire +3 more sources
Unsupervised segmentation of mitochondria using model-based spectral clustering [PDF]
, 2013 Segmentation of mitochondria in microscopic images represents a significant challenge that is motivated by the wide morphological and structural variations that are characteristic for this category of membrane enclosed sub cellular organelles. To address
Ghita, Ovidiu +2 more
core
Sparse-reduced computation for large-scale spectral clustering
, 2016 Clustering is a fundamental task in machine learning and data analysis. A large number of clustering algorithms has been developed over the past decades.
Baumann, Philipp, Philipp Baumann
core +1 more source