Results 101 to 110 of about 1,195,838 (307)
Arthritis Care &Research, EarlyView.Objective The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögren's International Collaborative Clinical Alliance (SICCA) cohort. Methods We performed a retrospective analysis examining 16 ocular symptoms (most graded 0–4) and artificial tear (AT) use (graded 0–3) as predictors of DED signs (abnormal ocular ...
Pragnya R. Donthineni +7 more
wiley +1 more source
An assessment of the application of cluster analysis techniques to the Johannesburg Stock Exchange [PDF]
, 2014 Includes bibliographical references.Cluster analysis is becoming an increasingly popular method in modern finance because of its ability to summarise large amounts of data and so help individual and institutional investors to make timeous and informed ...
Tully, Robyn
core +1 more source
Abnormality Detection of Cast-Resin Transformers Using the Fuzzy Logic Clustering Decision Tree
Energies, 2020 Failures of cast-resin transformers not only reduce the reliability of power systems, but also have great effects on power quality. Partial discharges (PD) occurring in epoxy resin insulators of high-voltage electrical equipment will result in harmful ...
Chin-Tan Lee, Shih-Cheng Horng
doaj +1 more source
Neighborhood Socioeconomic Status and Short‐Term Functional Outcomes in Systemic Lupus Erythematosus
Arthritis Care &Research, EarlyView.Objective Individuals with systemic lupus erythematosus (SLE) can accumulate functional status (FS) impairment. We evaluated the association between neighborhood socioeconomic disadvantage, as measured by the Area Deprivation Index (ADI), and FS in a national SLE sample.
Baljeet Rai +7 more
wiley +1 more source
Arthritis Care &Research, EarlyView.Interstitial lung disease (ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRDs). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the noninvasive assessment of ILD; however, its interpretation is constrained by substantial interobserver variability and the ...
Alexander Pfeil +7 more
wiley +1 more source
Supervised sampling for clustering large data sets [PDF]
, 2010 The problem of clustering large data sets has attracted a lot of current research. The approaches taken are mainly based either on the more efficient implementation or modification of existing methods or/and on the construction of clusters from a ...
Kosmidis, Ioannis, Karlis, Dimitris
core
An Improved K-means Clustering Algorithm Applicable to Massive High-dimensional Matrix Datasets
ITM Web of Conferences, 2017 Since K-means clustering algorithm is easy to implement and high efficient, it has been widely used in cluster analysis of massive datasets. The value of k is difficult to determine in advance and the randomness of choosing initial centers leads to a ...
Li Dong-Yuan, Cao Cai-Feng
doaj +1 more source
Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Hierarchical clustering of speakers into accents with the ACCDIST metric [PDF]
, 2007 Hierarchical clustering of speakers by their pronunciation patterns could be a useful technique for the discovery of accents and the relationships between accents and sociological variables.
Huckvale, M
core
Achieving k-anonymity by clustering in attribute hierarchical structures
, 2006 . Individual privacy will be at risk if a published data set is not properly deidentified. k-anonymity is a major technique to de-identify a data set. A more general view of k-anonymity is clustering with a constraint of the minimum number of objects in ...
Raymond Chi-wing Wong +7 more
core +1 more source