Results 201 to 210 of about 74,563 (305)

QuasiSeq: profiling viral quasispecies via self-tuning spectral clustering with PacBio long sequencing reads. [PDF]

Bioinformatics, 2022
Jiao X, Imamichi H, Sherman BT, Nahar R, Dewar RL, Lane HC, Imamichi T, Chang W.   +7 more
europepmc   +1 more source

Using K-Means Method and Spectral Clustering Technique in An Outfitter's Value Analysis

, 2013
[[abstract]]This study applies K-means method and spectral clustering technique in the customer data analysis of an outfitter in Taipei City, Taiwan. The data set contains transaction records of 551 customers from April 2004 to March 2006.
Chang, En-Chi; Huang, Shian-Chang; Wu, Hsin-Hung
core  

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Correction: Multimodality medical image fusion using directional total variation based linear spectral clustering in NSCT domain. [PDF]

Sci Rep
Khan MZ, Diwakar M, Srivastava P, Singh P, Pandey NK, Albuhairy MM, Algaraady J.   +6 more
europepmc   +1 more source

Determination of biomarkers from microarray data using graph neural network and spectral clustering. [PDF]

Sci Rep, 2021
Yu K, Xie W, Wang L, Zhang S, Li W.
europepmc   +1 more source

Limits of spectral clustering

, 2004
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size increases.
Bousquet, O., Ulrike von Luxburg, von Luxburg, U., Belkin, M., Mikhail Belkin, Olivier Bousquet   +5 more
core  

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

Identification of physiological clusters in acute hypoxemic respiratory failure patients undergoing non-invasive respiratory support using EIT-based t-SNE and spectral clustering. [PDF]

Intensive Care Med Exp
Scaramuzzo G, Bellini V, Trevisani M, Cinquegrana F, Bonanni M, Ciniero M, Riccardo M, Ferrara P, Trentini A, Bellini T, Tini G, Uboldi S, Azzolina D, Spadaro S, Volta CA, Bignami EG.   +15 more
europepmc   +1 more source

Functional characterization of nutraceuticals using spectral clustering: Centrality of caveolae-mediated endocytosis for management of nitric oxide and vitamin D deficiencies and atherosclerosis. [PDF]

Front Nutr, 2022
Fliri AF, Kajiji S.
europepmc   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source