Results 71 to 80 of about 2,836,700 (319)
Neighborhood Selection for Thresholding-based Subspace Clustering
, 2014 Subspace clustering refers to the problem of clustering high-dimensional data points into a union of low-dimensional linear subspaces, where the number of subspaces, their dimensions and orientations are all unknown. In this paper, we propose a variation
Agustsson, Eirikur +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source
Resolving the problem of galaxy clustering on small scales: any new physics needed?
, 2013 Galaxy clustering sets strong constraints on the physics governing galaxy formation and evolution.
Kang, Xi
core +1 more source
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
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
Analysis of missense variants in the human genome reveals widespread gene-specific clustering and improves prediction of pathogenicity [PDF]
, 2022 Mathieu Quinodoz +8 more
openalex +1 more source
Axioms for graph clustering quality functions [PDF]
, 2014 We investigate properties that intuitively ought to be satisfied by graph clustering quality functions, that is, functions that assign a score to a clustering of a graph.
Marchiori, Elena, van Laarhoven, Twan
core +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
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
Computational Statistics & Data Analysis, 2013 23 pages, 6 ...
Yan, Donghui +2 more
openaire +3 more sources